-------------------------------------------------------------------------------------------
      name:  <unnamed>
       log:  /Users/willafriedman/Dropbox/a_research/gsp/replication/edaslib2015replication
> .log
  log type:  text
 opened on:  27 Sep 2015, 23:10:03

.  estimates clear;

. /***************************************
> *CLEANING AND GENERATING VARIABLES******
> ***************************************/
> 
> 
> /**********SAMPLE WEIGHTS*******/
> gen weight=1;

. replace weight=5.03 if (lot=="H" | lot=="I" | lot=="J");
(217 real changes made)

.  /*Intensives were 1/5.03 of remaining sample*/;
. replace weight=5.03 if intensive_sample==1;
(116 real changes made)

.  /***HIGHEST STANDARD***/
> gen s3_1highesteduclev_07=s3_1highesteduclev;
(9867 missing values generated)

. /* Reduce highest standard by one for those who got more by being interviewed later? */;
. replace s3_1highesteduclev_07=s3_1highesteduclev_07-1 if s1_7date3==2007 & s3_afullyear6=
> =1;
(17 real changes made)

. summ s3_1highesteduclev [aweight=weight];

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s3_1highes~v |    1863  2761.69005    7.810435   1.335877          1         13

. bys treatment: summ s3_1highesteduclev [aweight=weight];

-------------------------------------------------------------------------------------------
-> treatment = 0

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s3_1highes~v |     891  1426.99003    7.755738   1.315545          2         12

-------------------------------------------------------------------------------------------
-> treatment = 1

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s3_1highes~v |     970  1332.70002    7.868718   1.356026          1         13

-------------------------------------------------------------------------------------------
-> treatment = .

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s3_1highes~v |       2           2           8   1.414214          7          9


. summ s3_1highesteduclev_07 [aweight=weight];

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s3_1highe~07 |    1863  2761.69005    7.779472   1.318044          1         13

. bys treatment: summ s3_1highesteduclev_07 [aweight=weight];

-------------------------------------------------------------------------------------------
-> treatment = 0

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s3_1highe~07 |     891  1426.99003    7.724013   1.286135          2         12

-------------------------------------------------------------------------------------------
-> treatment = 1

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s3_1highe~07 |     970  1332.70002    7.838523   1.349963          1         13

-------------------------------------------------------------------------------------------
-> treatment = .

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s3_1highe~07 |       2           2           8   1.414214          7          9


. /*INDICATOR VARIABLE FOR STILL ATTENDING SCHOOL*/
> gen s3_inschool=.;
(11730 missing values generated)

. replace s3_inschool=1 if (s3_aattendsch2==1 & (s1_7date3==2006|s1_7date3==2007))|(s3_batt
> endsch2==1 & s1_7date3==2005);
(1082 real changes made)

. replace s3_inschool=0 if (s3_aattendsch2==2 & (s1_7date3==2006|s1_7date3==2007))|(s3_batt
> endsch2==2 & s1_7date3==2005);
(663 real changes made)

. tab s3_inschool [aweight=weight];

s3_inschool |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 | 796.028728       45.62       45.62
          1 | 948.971272       54.38      100.00
------------+-----------------------------------
      Total |      1,745      100.00

. bys treatment: tab s3_inschool [aweight=weight];

-------------------------------------------------------------------------------------------
-> treatment = 0

s3_inschool |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 | 422.780857       51.12       51.12
          1 | 404.219143       48.88      100.00
------------+-----------------------------------
      Total |        827      100.00

-------------------------------------------------------------------------------------------
-> treatment = 1

s3_inschool |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 | 365.291349       39.79       39.79
          1 | 552.708651       60.21      100.00
------------+-----------------------------------
      Total |        918      100.00

-------------------------------------------------------------------------------------------
-> treatment = .
no observations


. /*ATTENDING ANY SECONDARY SCHOOL*/
> gen anysec=.;
(11730 missing values generated)

. replace anysec = 0 if quizid~=.;
(1864 real changes made)

. replace anysec=1 if (s3_1highesteduclev>8 & s3_1highesteduclev~=.);
(490 real changes made)

. foreach var in a b c d e f {;
  2. replace anysec=1 if s3_`var'level5>8 & s3_`var'level5~=.;
  3. };
(142 real changes made)
(27 real changes made)
(3 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)

. replace anysec=. if (s3_1highesteduclev==. & s3_alevel5==. & s3_blevel5==. & s3_clevel5==
> .
>         & s3_dlevel5==. & s3_elevel5==. & s3_flevel5==.);
(0 real changes made)

. tab anysec [aweight=weight];

     anysec |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 | 1,232.4494       66.12       66.12
          1 | 631.550611       33.88      100.00
------------+-----------------------------------
      Total |      1,864      100.00

.  bys treatment: tab anysec [aweight=weight];

-------------------------------------------------------------------------------------------
-> treatment = 0

     anysec |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |  621.81871       69.79       69.79
          1 |  269.18129       30.21      100.00
------------+-----------------------------------
      Total |        891      100.00

-------------------------------------------------------------------------------------------
-> treatment = 1

     anysec |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 | 604.113872       62.22       62.22
          1 | 366.886128       37.78      100.00
------------+-----------------------------------
      Total |        971      100.00

-------------------------------------------------------------------------------------------
-> treatment = .

     anysec |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |          1       50.00       50.00
          1 |          1       50.00      100.00
------------+-----------------------------------
      Total |          2      100.00


. /*SELF PERCEIVED HAPPINESS*/
> gen s15_happy=.;
(11730 missing values generated)

. replace s15_happy=1 if s15_10together==1;
(1161 real changes made)

. replace s15_happy=0 if (s15_10together==2 | s15_10together==3);
(702 real changes made)

. replace s15_happy=. if s15_10together==.;
(0 real changes made)

. label var s15_happy "Index of Self-Perceived Happiness";

. replace s15_happy=. if s15_10together==99;
(0 real changes made)

. tab s15_happy [aweight=weight];

   Index of |
Self-Percei |
        ved |
  Happiness |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 | 715.514128       38.41       38.41
          1 | 1,147.4859       61.59      100.00
------------+-----------------------------------
      Total |      1,863      100.00

. bys treatment: tab s15_happy [aweight=weight];

-------------------------------------------------------------------------------------------
-> treatment = 0

   Index of |
Self-Percei |
        ved |
  Happiness |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 | 346.868044       38.93       38.93
          1 | 544.131956       61.07      100.00
------------+-----------------------------------
      Total |        891      100.00

-------------------------------------------------------------------------------------------
-> treatment = 1

   Index of |
Self-Percei |
        ved |
  Happiness |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 | 366.936145       37.83       37.83
          1 | 603.063855       62.17      100.00
------------+-----------------------------------
      Total |        970      100.00

-------------------------------------------------------------------------------------------
-> treatment = .

   Index of |
Self-Percei |
        ved |
  Happiness |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |          1       50.00       50.00
          1 |          1       50.00      100.00
------------+-----------------------------------
      Total |          2      100.00


. /*MARRIAGE*/
> gen s18_marriage=.;
(11730 missing values generated)

. replace s18_marriage=1 if s18_1married==1;
(263 real changes made)

. replace s18_marriage=0 if s18_1married==2;
(1601 real changes made)

. tab s18_marriage;

s18_marriag |
          e |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |      1,601       85.89       85.89
          1 |        263       14.11      100.00
------------+-----------------------------------
      Total |      1,864      100.00

. bys treatment: tab s18_marriage;

-------------------------------------------------------------------------------------------
-> treatment = 0

s18_marriag |
          e |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |        755       84.74       84.74
          1 |        136       15.26      100.00
------------+-----------------------------------
      Total |        891      100.00

-------------------------------------------------------------------------------------------
-> treatment = 1

s18_marriag |
          e |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |        845       87.02       87.02
          1 |        126       12.98      100.00
------------+-----------------------------------
      Total |        971      100.00

-------------------------------------------------------------------------------------------
-> treatment = .

s18_marriag |
          e |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |          1       50.00       50.00
          1 |          1       50.00      100.00
------------+-----------------------------------
      Total |          2      100.00


. /*FERTILITY*/
> gen s19_fertility=.;
(11730 missing values generated)

. label var s19_fertility "=1 if Self/Partner ever been pregnant";

. replace s19_fertility=0 if s19_1pregnant==2;
(1476 real changes made)

. replace s19_fertility=1 if (s19_1pregnant==1 | s19_2miscarriage==1);
(399 real changes made)

. tab s19_fertility [aw=weight];

      =1 if |
Self/Partne |
r ever been |
   pregnant |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 | 1,342.9711       72.09       72.09
          1 | 520.028898       27.91      100.00
------------+-----------------------------------
      Total |      1,863      100.00

. bys treatment: tab s19_fertility [aw=weight];

-------------------------------------------------------------------------------------------
-> treatment = 0

      =1 if |
Self/Partne |
r ever been |
   pregnant |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 | 628.349839       70.52       70.52
          1 | 262.650161       29.48      100.00
------------+-----------------------------------
      Total |        891      100.00

-------------------------------------------------------------------------------------------
-> treatment = 1

      =1 if |
Self/Partne |
r ever been |
   pregnant |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 | 716.591176       73.88       73.88
          1 | 253.408824       26.12      100.00
------------+-----------------------------------
      Total |        970      100.00

-------------------------------------------------------------------------------------------
-> treatment = .

      =1 if |
Self/Partne |
r ever been |
   pregnant |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |          2      100.00      100.00
------------+-----------------------------------
      Total |          2      100.00


. gen s19_total_fert=s19_3times;
(11352 missing values generated)

. replace s19_total_fert=0 if s19_fertility==0;
(1464 real changes made)

. /*COGNITIVE TESTS*/
> gen raven=s4_raven_atotal+s4_raven_btotal+s4_raven_abtotal;
(9974 missing values generated)

. label var raven "Sum of all Raven Tests";

. gen englishvocab=0;

. gen swahilivocab=0;

. foreach var of numlist 1/15{;
  2.  replace englishvocab=englishvocab+1 if s4_english_`var'==1;
  3.  replace swahilivocab=swahilivocab+1 if s4_swahili_`var'==1;
  4. };
(1818 real changes made)
(1448 real changes made)
(1604 real changes made)
(1537 real changes made)
(1554 real changes made)
(1421 real changes made)
(1503 real changes made)
(947 real changes made)
(1352 real changes made)
(1254 real changes made)
(1010 real changes made)
(971 real changes made)
(1044 real changes made)
(1590 real changes made)
(1312 real changes made)
(1152 real changes made)
(988 real changes made)
(1085 real changes made)
(933 real changes made)
(716 real changes made)
(722 real changes made)
(816 real changes made)
(775 real changes made)
(785 real changes made)
(745 real changes made)
(846 real changes made)
(674 real changes made)
(783 real changes made)
(133 real changes made)
(423 real changes made)

. replace englishvocab=. if quizid==.;
(9866 real changes made, 9866 to missing)

. replace swahilivocab=. if quizid==.;
(9866 real changes made, 9866 to missing)

. gen vocab=englishvocab+swahilivocab;
(9866 missing values generated)

. label var englishvocab "English Vocabulary Test: total correct answers (out of 15)";

. label var swahilivocab "Swahili Vocabulary Test: total correct answers (out of 15)";

. label var vocab "Total Vocabulary Score: English + Swahili (out of 30)";

. /* CLEAN YEAR OF BIRTH VARIABLE */;
. replace year_of_birth = . if (year_of_birth>1992 | year_of_birth<1980);
(187 real changes made, 187 to missing)

. summ year_of_birth [aw=weight];

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
year_of_bi~h |   10840  12105.4201    1987.248   1.656139       1980       1992

. bys treatment: summ year_of_birth [aw=weight];

-------------------------------------------------------------------------------------------
-> treatment = 0

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
year_of_bi~h |    5476  6217.52004    1987.299   1.614082       1980       1992

-------------------------------------------------------------------------------------------
-> treatment = 1

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
year_of_bi~h |    5364  5887.90003    1987.194   1.697923       1980       1992

-------------------------------------------------------------------------------------------
-> treatment = .

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
year_of_bi~h |       0           0


. /*fix year of survey for cohort control*/
> replace s1_7date3=2006 if quizid==2470;
(1 real change made)

. gen survey2005=.;
(11730 missing values generated)

. replace survey2005=0 if quizid~=.;
(1864 real changes made)

. replace survey2005=1 if s1_7date3==2005;
(323 real changes made)

. label var survey2005 "Surveyed in 2005";

.  tab survey2005 [aw=weight];

Surveyed in |
       2005 |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 | 1,646.0704       88.31       88.31
          1 | 217.929623       11.69      100.00
------------+-----------------------------------
      Total |      1,864      100.00

. bys treatment: tab survey2005 [aw=weight];

-------------------------------------------------------------------------------------------
-> treatment = 0

Surveyed in |
       2005 |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 | 794.219366       89.14       89.14
          1 | 96.7806343       10.86      100.00
------------+-----------------------------------
      Total |        891      100.00

-------------------------------------------------------------------------------------------
-> treatment = 1

Surveyed in |
       2005 |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 | 848.687638       87.40       87.40
          1 | 122.312362       12.60      100.00
------------+-----------------------------------
      Total |        971      100.00

-------------------------------------------------------------------------------------------
-> treatment = .

Surveyed in |
       2005 |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |          2      100.00      100.00
------------+-----------------------------------
      Total |          2      100.00


. gen survey2006=.;
(11730 missing values generated)

. replace survey2006=0 if quizid~=.;
(1864 real changes made)

. replace survey2006=1 if s1_7date3==2006;
(1368 real changes made)

. label var survey2006 "Surveyed in 2006";

.  tab survey2006 [aw=weight];

Surveyed in |
       2006 |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 | 522.268688       28.02       28.02
          1 | 1,341.7313       71.98      100.00
------------+-----------------------------------
      Total |      1,864      100.00

. bys treatment: tab survey2006 [aw=weight];

-------------------------------------------------------------------------------------------
-> treatment = 0

Surveyed in |
       2006 |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |  259.89035       29.17       29.17
          1 |  631.10965       70.83      100.00
------------+-----------------------------------
      Total |        891      100.00

-------------------------------------------------------------------------------------------
-> treatment = 1

Surveyed in |
       2006 |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 | 259.069237       26.68       26.68
          1 | 711.930763       73.32      100.00
------------+-----------------------------------
      Total |        971      100.00

-------------------------------------------------------------------------------------------
-> treatment = .

Surveyed in |
       2006 |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |          2      100.00      100.00
------------+-----------------------------------
      Total |          2      100.00


. gen survey2007=.;
(11730 missing values generated)

. replace survey2007=0 if quizid~=.;
(1864 real changes made)

. replace survey2007=1 if s1_7date3==2007;
(63 real changes made)

. label var survey2007 "Surveyed in 2007";

. tab survey2007 [aw=weight];

Surveyed in |
       2007 |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 | 1,650.1928       88.53       88.53
          1 | 213.807186       11.47      100.00
------------+-----------------------------------
      Total |      1,864      100.00

. bys treatment: tab survey2007 [aw=weight];

-------------------------------------------------------------------------------------------
-> treatment = 0

Surveyed in |
       2007 |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 | 774.794551       86.96       86.96
          1 | 116.205449       13.04      100.00
------------+-----------------------------------
      Total |        891      100.00

-------------------------------------------------------------------------------------------
-> treatment = 1

Surveyed in |
       2007 |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 | 875.785646       90.19       90.19
          1 | 95.2143537        9.81      100.00
------------+-----------------------------------
      Total |        971      100.00

-------------------------------------------------------------------------------------------
-> treatment = .

Surveyed in |
       2007 |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |          2      100.00      100.00
------------+-----------------------------------
      Total |          2      100.00


. gen survey2008=.;
(11730 missing values generated)

. replace survey2008=0 if quizid~=.;
(1864 real changes made)

. replace survey2008=1 if s1_7date3==2008;
(107 real changes made)

. label var survey2008 "Surveyed in 2008";

. tab survey2008 [aw=weight];

Surveyed in |
       2008 |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 | 1,775.4922       95.25       95.25
          1 | 88.5077653        4.75      100.00
------------+-----------------------------------
      Total |      1,864      100.00

. bys treatment: tab survey2008 [aw=weight];

-------------------------------------------------------------------------------------------
-> treatment = 0

Surveyed in |
       2008 |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 | 845.344516       94.88       94.88
          1 | 45.6554843        5.12      100.00
------------+-----------------------------------
      Total |        891      100.00

-------------------------------------------------------------------------------------------
-> treatment = 1

Surveyed in |
       2008 |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 | 930.185529       95.80       95.80
          1 | 40.8144707        4.20      100.00
------------+-----------------------------------
      Total |        971      100.00

-------------------------------------------------------------------------------------------
-> treatment = .

Surveyed in |
       2008 |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |          2      100.00      100.00
------------+-----------------------------------
      Total |          2      100.00


. gen survey2009=.;
(11730 missing values generated)

. replace survey2009=0 if quizid~=.;
(1864 real changes made)

. replace survey2009=1 if s1_7date3==2009;
(1 real change made)

. label var survey2009 "Surveyed in 2009";

. tab survey2009 [aw=weight];

Surveyed in |
       2009 |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 | 1,863.3253       99.96       99.96
          1 | .674704715        0.04      100.00
------------+-----------------------------------
      Total |      1,864      100.00

. bys treatment: tab survey2009 [aw=weight];

-------------------------------------------------------------------------------------------
-> treatment = 0

Surveyed in |
       2009 |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 | 890.375609       99.93       99.93
          1 | .624391189        0.07      100.00
------------+-----------------------------------
      Total |        891      100.00

-------------------------------------------------------------------------------------------
-> treatment = 1

Surveyed in |
       2009 |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |        971      100.00      100.00
------------+-----------------------------------
      Total |        971      100.00

-------------------------------------------------------------------------------------------
-> treatment = .

Surveyed in |
       2009 |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |          2      100.00      100.00
------------+-----------------------------------
      Total |          2      100.00


. /*fix school_baseline*/
> replace school_baseline=306 if quizid==1155;
(0 real changes made)

. /* SOCIAL CAPITAL / COMMUNITY GROUP INDEX */;
. gen sk_group_index = (s12_1womengrp==1) + (s12_2farmgrp==1) + (s12_3youthgrp==1)
>         + (s12_4watergrp==1) + (s12_5creditins==1) + (s12_6biblegrp==1)
>         + (s12_7burialcom==1) + (s12_8schcom==1) + (s12_9sports==1) + (s12_10commgrp==1);

. summ sk_group_index [aw=weight];

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
sk_group_i~x |   11730  13071.9901    .3033846   .8725842          0          7

. bys treatment: summ sk_group_index [aw=weight];

-------------------------------------------------------------------------------------------
-> treatment = 0

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
sk_group_i~x |    5754  6511.64004    .3014724   .8613985          0          6

-------------------------------------------------------------------------------------------
-> treatment = 1

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
sk_group_i~x |    5974  6558.35003    .3050706   .8836672          0          7

-------------------------------------------------------------------------------------------
-> treatment = .

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
sk_group_i~x |       2           2           1          0          1          1


. /* TRUST */;
. gen sk_trust = (s12_11==1);

. replace sk_trust=. if quizid==.;
(9866 real changes made, 9866 to missing)

. bys treatment: summ sk_trust [aw=weight];

-------------------------------------------------------------------------------------------
-> treatment = 0

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
    sk_trust |     891  1426.99003    .1671841   .3733497          0          1

-------------------------------------------------------------------------------------------
-> treatment = 1

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
    sk_trust |     971  1333.70002    .1352553   .3421723          0          1

-------------------------------------------------------------------------------------------
-> treatment = .

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
    sk_trust |       2           2          .5   .7071068          0          1


. /* MEDIA EXPOSURE: s12_16radio, s12_17newspaper */;
. tab s12_16radio [aw=weight];

      Hours |
listened to |
   radio in |
last 7 days |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 | 493.033731       26.45       26.45
          1 |156.7946305        8.41       34.86
          2 |246.1592721       13.21       48.07
          3 | 181.266172        9.72       57.79
          4 | 68.3071065        3.66       61.46
          5 | 46.6355905        2.50       63.96
          6 |37.23020701        2.00       65.96
          7 |  634.57329       34.04      100.00
------------+-----------------------------------
      Total |      1,864      100.00

. bys treatment: tab s12_16radio [aw=weight];

-------------------------------------------------------------------------------------------
-> treatment = 0

      Hours |
listened to |
   radio in |
last 7 days |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 | 210.944323       23.68       23.68
          1 | 65.6547342        7.37       31.04
          2 | 114.582029       12.86       43.90
          3 | 103.967379       11.67       55.57
          4 |   31.93761        3.58       59.16
          5 | 23.8017926        2.67       61.83
          6 | 21.9286191        2.46       64.29
          7 | 318.183513       35.71      100.00
------------+-----------------------------------
      Total |        891      100.00

-------------------------------------------------------------------------------------------
-> treatment = 1

      Hours |
listened to |
   radio in |
last 7 days |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 | 286.050762       29.46       29.46
          1 |92.63705472        9.54       39.00
          2 | 132.017268       13.60       52.60
          3 |72.91418583        7.51       60.10
          4 | 36.4680137        3.76       63.86
          5 | 22.5695431        2.32       66.19
          6 | 14.6046788        1.50       67.69
          7 | 313.738495       32.31      100.00
------------+-----------------------------------
      Total |        971      100.00

-------------------------------------------------------------------------------------------
-> treatment = .

      Hours |
listened to |
   radio in |
last 7 days |      Freq.     Percent        Cum.
------------+-----------------------------------
          3 |          2      100.00      100.00
------------+-----------------------------------
      Total |          2      100.00


. tab s12_17newspaper [aw=weight];

  Days read |
  newspaper |
  in last 7 |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 | 1,402.9608       75.27       75.27
          1 | 226.370181       12.14       87.41
          2 |  110.15904        5.91       93.32
          3 | 60.9055959        3.27       96.59
          4 | 29.1337504        1.56       98.15
          5 | 12.8598721        0.69       98.84
          6 | 3.37352357        0.18       99.02
          7 | 18.2372686        0.98      100.00
------------+-----------------------------------
      Total |      1,864      100.00

. bys treatment: tab s12_17newspaper [aw=weight];

-------------------------------------------------------------------------------------------
-> treatment = 0

  Days read |
  newspaper |
  in last 7 |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 | 684.407684       76.81       76.81
          1 | 96.9866848       10.89       87.70
          2 | 51.3312006        5.76       93.46
          3 |28.81565402        3.23       96.69
          4 |  18.825395        2.11       98.81
          5 | 5.01386138        0.56       99.37
          6 | 1.24878238        0.14       99.51
          7 | 4.37073832        0.49      100.00
------------+-----------------------------------
      Total |        891      100.00

-------------------------------------------------------------------------------------------
-> treatment = 1

  Days read |
  newspaper |
  in last 7 |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 | 714.398854       73.57       73.57
          1 |  131.18001       13.51       87.08
          2 | 59.0157151        6.08       93.16
          3 | 32.1215567        3.31       96.47
          4 |9.486488734        0.98       97.45
          5 |8.030389182        0.83       98.27
          6 |2.184149328        0.22       98.50
          7 | 14.5828372        1.50      100.00
------------+-----------------------------------
      Total |        971      100.00

-------------------------------------------------------------------------------------------
-> treatment = .

  Days read |
  newspaper |
  in last 7 |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |          2      100.00      100.00
------------+-----------------------------------
      Total |          2      100.00


. /* ECONOMY IS IMPROVING (RELATIVE TO TWO YEARS AGO) */;
. gen s12_19_econ_improve = (s12_19economic==1);

. replace s12_19_econ_improve=. if quizid==.;
(9866 real changes made, 9866 to missing)

. bys treatment: tab s12_19_econ_improve [aw=weight];

-------------------------------------------------------------------------------------------
-> treatment = 0

s12_19_econ |
   _improve |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 | 480.219273       53.90       53.90
          1 | 410.780727       46.10      100.00
------------+-----------------------------------
      Total |        891      100.00

-------------------------------------------------------------------------------------------
-> treatment = 1

s12_19_econ |
   _improve |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |557.3876361       57.40       57.40
          1 |413.6123639       42.60      100.00
------------+-----------------------------------
      Total |        971      100.00

-------------------------------------------------------------------------------------------
-> treatment = .

s12_19_econ |
   _improve |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |          2      100.00      100.00
------------+-----------------------------------
      Total |          2      100.00


. /* QUALITY OF GOVERNMENT IS IMPROVING (RELATIVE TO TWO YEARS AGO) */;
. gen s12_20_gov_improve = (s12_20government==1);

. replace s12_20_gov_improve=. if quizid==.;
(9866 real changes made, 9866 to missing)

. bys treatment: tab s12_20_gov_improve [aw=weight];

-------------------------------------------------------------------------------------------
-> treatment = 0

s12_20_gov_ |
    improve |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 | 420.146595       47.15       47.15
          1 | 470.853405       52.85      100.00
------------+-----------------------------------
      Total |        891      100.00

-------------------------------------------------------------------------------------------
-> treatment = 1

s12_20_gov_ |
    improve |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 | 492.503839       50.72       50.72
          1 | 478.496161       49.28      100.00
------------+-----------------------------------
      Total |        971      100.00

-------------------------------------------------------------------------------------------
-> treatment = .

s12_20_gov_ |
    improve |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |          2      100.00      100.00
------------+-----------------------------------
      Total |          2      100.00


. /* INTERESTED IN PUBLIC AFFAIRS */;
. gen s12_23_interested = (s12_23politicsparticipation==1 | s12_23politicsparticipation==2)
> ;

. replace s12_23_interested=. if quizid==.;
(9866 real changes made, 9866 to missing)

. tab s12_23_interested [aw=weight];

s12_23_inte |
     rested |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |1,397.56313       74.98       74.98
          1 |  466.43687       25.02      100.00
------------+-----------------------------------
      Total |      1,864      100.00

. bys treatment: tab s12_23_interested [aw=weight];

-------------------------------------------------------------------------------------------
-> treatment = 0

s12_23_inte |
     rested |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 | 646.888017       72.60       72.60
          1 | 244.111983       27.40      100.00
------------+-----------------------------------
      Total |        891      100.00

-------------------------------------------------------------------------------------------
-> treatment = 1

s12_23_inte |
     rested |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 | 752.322967       77.48       77.48
          1 | 218.677033       22.52      100.00
------------+-----------------------------------
      Total |        971      100.00

-------------------------------------------------------------------------------------------
-> treatment = .

s12_23_inte |
     rested |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |          2      100.00      100.00
------------+-----------------------------------
      Total |          2      100.00


. /* VOTING INTENTIONS */;
. gen s12_26vote2007_restrict = (s12_26vote2007==1);

. replace s12_26vote2007_restrict=. if (s12_26vote2007>2 | quizid==.);
(10487 real changes made, 10487 to missing)

. tab s12_26vote2007_restrict [aw=weight];

s12_26vote2 |
007_restric |
          t |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 | 635.590686       51.13       51.13
          1 | 607.409314       48.87      100.00
------------+-----------------------------------
      Total |      1,243      100.00

. bys treatment: tab s12_26vote2007_restrict [aw=weight];

-------------------------------------------------------------------------------------------
-> treatment = 0

s12_26vote2 |
007_restric |
          t |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 | 285.720384       49.43       49.43
          1 | 292.279616       50.57      100.00
------------+-----------------------------------
      Total |        578      100.00

-------------------------------------------------------------------------------------------
-> treatment = 1

s12_26vote2 |
007_restric |
          t |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 | 352.467545       53.00       53.00
          1 | 312.532455       47.00      100.00
------------+-----------------------------------
      Total |        665      100.00

-------------------------------------------------------------------------------------------
-> treatment = .
no observations


. /* DEMOCRATIC ATTITUDES */;
. gen s12_39_reverse = (5 - s12_39fairelection)/4 if s12_39fairelection~=99;
(9867 missing values generated)

. gen s12_40_democratic = (s12_40==1) if s12_40~=99 & quizid~=.;
(9868 missing values generated)

. gen s12_41_satisfied = (4 - s12_41)/3 if s12_41~=99;
(9884 missing values generated)

. /* ETHNIC, RELIGIOUS ATTACHMENTS */;
. gen s13_12_tribe_important = (s13_12ethnicimp==1);

. replace s13_12_tribe_important=. if quizid==.;
(9866 real changes made, 9866 to missing)

. tab s13_12_tribe_important [aw=weight];

s13_12_trib |
e_important |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 | 183.884026        9.87        9.87
          1 |  1,680.116       90.13      100.00
------------+-----------------------------------
      Total |      1,864      100.00

. bys treatment: tab s13_12_tribe_important [aw=weight];

-------------------------------------------------------------------------------------------
-> treatment = 0

s13_12_trib |
e_important |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |94.48912005       10.60       10.60
          1 |  796.51088       89.40      100.00
------------+-----------------------------------
      Total |        891      100.00

-------------------------------------------------------------------------------------------
-> treatment = 1

s13_12_trib |
e_important |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 | 88.2469144        9.09        9.09
          1 | 882.753086       90.91      100.00
------------+-----------------------------------
      Total |        971      100.00

-------------------------------------------------------------------------------------------
-> treatment = .

s13_12_trib |
e_important |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |          2      100.00      100.00
------------+-----------------------------------
      Total |          2      100.00


. gen s13_13_religion_important = (s13_13religion==1);

. replace s13_13_religion_important=. if quizid==.;
(9866 real changes made, 9866 to missing)

. tab s13_13_religion_important [aw=weight];

s13_13_reli |
gion_import |
        ant |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 | 31.7111216        1.70        1.70
          1 | 1,832.2889       98.30      100.00
------------+-----------------------------------
      Total |      1,864      100.00

. bys treatment: tab s13_13_religion_important [aw=weight];

-------------------------------------------------------------------------------------------
-> treatment = 0

s13_13_reli |
gion_import |
        ant |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 | 14.9853885        1.68        1.68
          1 | 876.014611       98.32      100.00
------------+-----------------------------------
      Total |        891      100.00

-------------------------------------------------------------------------------------------
-> treatment = 1

s13_13_reli |
gion_import |
        ant |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 | 16.7451448        1.72        1.72
          1 | 954.254855       98.28      100.00
------------+-----------------------------------
      Total |        971      100.00

-------------------------------------------------------------------------------------------
-> treatment = .

s13_13_reli |
gion_import |
        ant |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |          2      100.00      100.00
------------+-----------------------------------
      Total |          2      100.00


. /* PARENT EDUCATION, DEMEANED */;
. gen feduc=s5_12educlevel if s5_12educlevel<26;
(10115 missing values generated)

. gen meduc=s5_21educlevel if s5_21educlevel<26;
(10053 missing values generated)

. /* CONSTRUCT WIN / RD VARIABLES */;
. gen win=1 if (winner_2001==1 | winner_2002==1);
(11330 missing values generated)

. replace win=0 if win==.;
(11330 real changes made)

. replace win=. if quizid==.;
(9866 real changes made, 9866 to missing)

. label var win "Won Scholarship";

. bys treatment: summ win [aw=weight];

-------------------------------------------------------------------------------------------
-> treatment = 0

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
         win |     891  1426.99003           0          0          0          0

-------------------------------------------------------------------------------------------
-> treatment = 1

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
         win |     971  1333.70002    .1629527   .3695128          0          1

-------------------------------------------------------------------------------------------
-> treatment = .

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
         win |       2           2           0          0          0          0


. compress;
died was float now byte
refused was float now byte
surveyed was float now byte
intensive_sample was float now byte
s3_1highesteduclev_07 was float now byte
s3_inschool was float now byte
anysec was float now byte
s15_happy was float now byte
s18_marriage was float now byte
s19_fertility was float now byte
s19_total_fert was float now byte
raven was float now byte
englishvocab was float now byte
swahilivocab was float now byte
vocab was float now byte
survey2005 was float now byte
survey2006 was float now byte
survey2007 was float now byte
survey2008 was float now byte
survey2009 was float now byte
sk_group_index was float now byte
sk_trust was float now byte
s12_19_econ_improve was float now byte
s12_20_gov_improve was float now byte
s12_23_interested was float now byte
s12_26vote2007_restrict was float now byte
s12_40_democratic was float now byte
s13_12_tribe_important was float now byte
s13_13_religion_important was float now byte
feduc was float now byte
meduc was float now byte
win was float now byte

. replace surveyed=0 if surveyed!=1;
(9866 real changes made)

. # delimit cr;
delimiter now cr
. 
. 
. gen c1_score_2000=score_2000 if c1==1
(8514 missing values generated)

. sum c1_score_2000 if treatment==0&male==0&teso==0&surveyed==1&s1_7date3<2008

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
c1_scor~2000 |       249   -.1113009    .8644761  -2.016674   2.330804

. replace c1_score_2000=(c1_score_2000-r(mean))/r(sd)
(3216 real changes made)

. 
. gen age_01=2001-year_of_birth
(890 missing values generated)

. 
. gen daded=bs_feduc if bs_feduc<26
(5958 missing values generated)

. gen momed=bs_meduc if bs_meduc<26
(6425 missing values generated)

. 
. replace bs_flang=1 if bs8_60=="BUKUSU"|bs8_60=="KIBUGUSU"|bs8_60=="KIBUKUSI"|bs8_60=="KIB
> UKUSU"|bs8_60=="KIISUKHA"|bs8_60=="KIKHAYO"|bs8_60=="KILUHYA"|bs8_60=="BANYORO"|bs8_60=="
> KILUYIA"|bs8_60=="KIMARACHI"|bs8_60=="KIMARACHI (LUHYA)"|bs8_60=="KIMARAGOLI"|bs8_60=="KI
> SAMIA"|bs8_60=="KISUKHA"|bs8_60=="KITIRIKI"|bs8_60=="KIWANGA"|bs8_60=="LUHYIA"|bs8_60=="L
> UHYA"|bs8_60=="MARACHI"|bs8_60=="MARAGOLI"|bs8_60=="MNYORE"|bs8_60=="MULUHYA"|bs8_60=="MU
> LUYA"|bs8_60=="MUNYORE"|bs8_60=="MUWANGA"|bs8_60=="MWANGA"|bs8_60=="TIRIKI"|bs8_60=="TIRI
> KI LUHYA"|bs8_60=="WANGA"|bs8_60=="KINYOLE"|bs8_60=="KINYORE"|bs8_60=="KINYALA"|bs8_60=="
> MARAMA"|bs8_60=="ITAKHO"|bs8_60=="KABRASI"|bs8_60=="MKISA"
(149 real changes made)

. replace bs_flang=2 if bs8_60=="TESO"|bs8_60=="KITESO"
(4 real changes made)

. replace bs_flang=3 if bs8_60=="KILUO"|bs8_60=="JALUO"
(7 real changes made)

. 
. gen tribe_teso=1 if bs_flang==2
(9114 missing values generated)

. replace tribe_teso=0 if bs_flang!=.&bs_flang!=2
(4541 real changes made)

. 
. gen tribe_luhya=1 if bs_flang==1
(8118 missing values generated)

. replace tribe_luhya=0 if bs_flang!=.&bs_flang!=1
(3545 real changes made)

. 
. gen tribe_luo=1 if bs_flang==3
(11164 missing values generated)

. replace tribe_luo=0 if bs_flang!=.&bs_flang!=3
(6591 real changes made)

. 
. gen ever_migrated=1 if s14_1migrated==1
(11210 missing values generated)

. replace ever_migrated=0 if s14_1migrated==2|s14_1migrated==3
(1338 real changes made)

. 
. quietly gen comppart = part_2001_v1 if std_baseline==6

. quietly replace comppart = part_avg_2002 if std_baseline==5

. 
. gen age_survey=age_01+8 if survey2009==1
(11729 missing values generated)

. replace age_survey=age_01+7 if survey2008==1
(105 real changes made)

. replace age_survey=age_01+6 if survey2007==1
(59 real changes made)

. replace age_survey=age_01+5 if survey2006==1
(1344 real changes made)

. replace age_survey=age_01+4 if survey2005==1
(320 real changes made)

. 
. rename s12_31ugandapresident s12_31ugpres

. rename s12_28vice_president s12_28vp

. rename s12_29educminister s12_29edmin

. rename s12_30healthminister s12_30healthmin

. 
. foreach p in 27president 28vp 29edmin 30healthmin 31ugpres{
  2.         gen s12_`p'_nm=1 if s12_`p'==1
  3.         replace s12_`p'_nm=0 if s12_`p'==2|s12_`p'==99
  4.         replace s12_`p'_nm=. if s12_`p'==.
  5.         replace s12_`p'=0 if s12_`p'==2|s12_`p'==99
  6. }
(9877 missing values generated)
(10 real changes made)
(0 real changes made)
(10 real changes made)
(10097 missing values generated)
(231 real changes made)
(0 real changes made)
(231 real changes made)
(11087 missing values generated)
(1220 real changes made)
(0 real changes made)
(1220 real changes made)
(10723 missing values generated)
(857 real changes made)
(0 real changes made)
(857 real changes made)
(10408 missing values generated)
(542 real changes made)
(0 real changes made)
(542 real changes made)

. replace s12_35singleparty=. if s12_35singleparty==99
(1 real change made, 1 to missing)

. 
. gen supportforviolence1=(s12_42-1)/3 if s12_42!=5
(9869 missing values generated)

. replace supportforviolence1=.5 if s12_42==5
(3 real changes made)

. gen supportforviolence2=1 if s12_42==3|s12_42==4
(11205 missing values generated)

. replace supportforviolence2=0 if s12_42==1|s12_42==2
(1336 real changes made)

. 
. gen insample=1 if arithmetic_1stfo!=.&englishvocab!=.&raven!=.&reading_correct_1stfo!=.&s
> wahilivocab!=.&ever_migrated!=.&s3_inschool!=.&anysec!=.&s3_1highesteduclev_07!=.&s18_mar
> riage!=.&s19_fertility!=.&s15_happy!=.
(9995 missing values generated)

. foreach p in s12_27president s12_28vp s12_29edmin s12_30healthmin s12_31ugpres s12_20_gov
> _improve s12_19_econ_improve s12_41_satisfied s12_43 supportforviolence1 s12_23_intereste
> d s12_17newspaper s12_16radio s12_39_reverse s12_40_democratic s12_44 s12_33 s12_34 s12_3
> 5 s12_36 s12_37 s12_38 s12_45 s12_46 c1 age_survey survey2005 survey2007 meduc feduc{
  2.         replace insample=. if `p'==.
  3. }
(0 real changes made)
(0 real changes made)
(1 real change made, 1 to missing)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(6 real changes made, 6 to missing)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(1 real change made, 1 to missing)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(1 real change made, 1 to missing)
(0 real changes made)
(0 real changes made)
(2 real changes made, 2 to missing)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(31 real changes made, 31 to missing)
(0 real changes made)
(0 real changes made)
(169 real changes made, 169 to missing)
(137 real changes made, 137 to missing)

. count if insample==1
 1387

. 
. gen compscore=score_2001 if std_baseline==6
(7690 missing values generated)

. replace compscore=score_2002 if std_baseline==5
(3620 real changes made)

. 
. sum compscore if treatment==0&insample==1 [aw=weight]

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
   compscore |     443  660.620011   -.1548889   .8863937  -2.023397   2.915911

. replace compscore=(compscore-r(mean))/r(sd)
(7660 real changes made)

. 
. sum score_2000 if treatment==0&insample==1 [aw=weight]

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
  score_2000 |     447  656.560011   -.0517477   .8868783  -2.016674   3.043633

. replace score_2000=(score_2000-r(mean))/r(sd)
(5857 real changes made)

. 
. foreach var in reading_correct_1stfo arithmetic_1stfo swahilivocab englishvocab raven voc
> ab{
  2.         sum `var' if treatment==0&insample==1 [aw=weight]
  3.         gen `var'_nm=(`var'-r(mean))/r(sd)
  4. }

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
reading_~tfo |     664  1022.67002    35.63691    14.8597          0         63
(9870 missing values generated)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
arithmetic~o |     664  1022.67002    10.95469   3.288959          1         18
(9871 missing values generated)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
swahilivocab |     664  1022.67002    7.952428   3.047587          0         15
(9866 missing values generated)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
englishvocab |     664  1022.67002     8.24615    3.21251          0         15
(9866 missing values generated)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
       raven |     664  1022.67002    18.31036   5.520225          2         34
(9974 missing values generated)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
       vocab |     664  1022.67002    16.19858   5.693177          2         28
(9866 missing values generated)

. 
. egen all_tests=rmean(reading_correct_1stfo_nm arithmetic_1stfo_nm swahilivocab_nm english
> vocab_nm raven_nm)
(9866 missing values generated)

. sum all_tests if treatment==0&insample==1 [aw=weight]

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
   all_tests |     664  1022.67002    2.65e-09   .7900872  -2.220594   1.748172

. gen all_tests_nm=(all_tests-r(mean))/r(sd)
(9866 missing values generated)

. 
. *******
. 
. /*Left Busia-Teso*/
. gen left_bt=1 if s2_9country!=1
(1852 missing values generated)

. replace left_bt=1 if s2_10adistrict!=1&s2_10adistrict!=2
(168 real changes made)

. replace left_bt=1 if s14_5r1district==3|s14_5r1district==4
(159 real changes made)

. replace left_bt=1 if s14_10r2district==3|s14_10r2district==4
(7 real changes made)

. replace left_bt=1 if s14_15r3district==3|s14_15r3district==4
(0 real changes made)

. replace left_bt=0 if left_bt==.&surveyed==1
(1518 real changes made)

. 
. /*Favorite News Source*/
. gen fav_news_none=(s12_18bestnewspaper==0)

. gen fav_news_taifa=(s12_18bestnewspaper==1)

. gen fav_news_nation=(s12_18bestnewspaper==2)

. gen fav_news_standard=(s12_18bestnewspaper==3)

. gen fav_news_other=(s12_18bestnewspaper==5)

. 
. foreach p in none taifa nation standard{
  2.         replace fav_news_`p'=. if s12_18bestnewspaper==.
  3. }
(9868 real changes made, 9868 to missing)
(9868 real changes made, 9868 to missing)
(9868 real changes made, 9868 to missing)
(9868 real changes made, 9868 to missing)

. 
. gen fav_news_not_none=1-fav_news_none
(9868 missing values generated)

. 
. gen s13_12_tribe_import_r=1-s13_12_tribe_important
(9866 missing values generated)

. gen s13_13_relig_import_r=1-s13_13_religion_important
(9866 missing values generated)

. 
. gen married_ind=1 if s18_5apartnerchoice==1
(11507 missing values generated)

. replace married_ind=0 if insample==1&married_ind==.
(1251 real changes made)

. 
. gen family_choice_unc=1 if s18_5apartnerchoice==2|s18_5apartnerchoice==3
(11691 missing values generated)

. replace family_choice_unc=0 if family_choice_unc==.&insample==1
(1363 real changes made)

. 
. replace s12_6biblegrp=0 if s12_6biblegrp==2
(1033 real changes made)

. 
. replace s12_44=2.5 if s12_44==5
s12_44 was byte now float
(3 real changes made)

. replace s12_46=2.5 if s12_46==5
s12_46 was byte now float
(2 real changes made)

. 
. replace s12_43=(s12_43-1)/3
s12_43 was byte now float
(1864 real changes made)

. replace s12_44=(s12_44-1)/3
(1864 real changes made)

. replace s12_34=. if s12_34==99
(1 real change made, 1 to missing)

. replace s12_33=(s12_33-1)/4
s12_33politicsandgover was byte now float
(1864 real changes made)

. replace s12_34=(s12_34-1)/4
s12_34worldleadership was byte now float
(1863 real changes made)

. replace s12_35=(s12_35-1)/4
s12_35singleparty was byte now float
(1863 real changes made)

. replace s12_36=(s12_36-1)/4
s12_36decisionmaking was byte now float
(1864 real changes made)

. replace s12_37=(s12_37-1)/4
s12_37armyleadership was byte now float
(1864 real changes made)

. replace s12_38=(s12_38-1)/4
s12_38electionsandparliament was byte now float
(1861 real changes made)

. replace s12_45=(s12_45-1)/3
s12_45 was byte now float
(1864 real changes made)

. replace s12_46=(s12_46-1)/3
(1864 real changes made)

. 
. gen s12_44_rev=1-s12_44
(9866 missing values generated)

. gen s12_45_rev=1-s12_45
(9866 missing values generated)

. gen s12_46_rev=1-s12_46
(9866 missing values generated)

. 
. 
. ************************
. ***Table 1:
. ***********************
. ***panels A&B:
. 
. foreach lhs in age_01 bs1_9iron momed daded tribe_teso tribe_luhya tribe_luo score_2000 c
> ompscore comppart{
  2.         sum `lhs' if treatment==0&insample==1 [aw=weight]
  3. }

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
      age_01 |     664  1022.67002    13.32685    1.44279         10         18

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
bs1_9ironr~f |     513  746.740012    .8201918   .3844025          0          1

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
       momed |     392   577.38001    8.711507   4.177194          0         15

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
       daded |     417   618.50001    10.47141   3.992654          0         15

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
  tribe_teso |     497  722.680012    .0554741   .2291339          0          1

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
 tribe_luhya |     497  722.680012    .7905574   .4073208          0          1

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
   tribe_luo |     497  722.680012     .104071   .3056602          0          1

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
  score_2000 |     447  656.560011   -4.39e-10          1  -2.215554   3.490198

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
   compscore |     443  660.620011   -4.21e-10          1  -2.107989   3.464375

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
    comppart |     649  995.580018    .7877452   .3614715          0          1

. 
. foreach lhs in age_01 bs1_9iron momed daded tribe_teso tribe_luhya tribe_luo score_2000 c
> ompscore comppart{
  2.         reg `lhs' treatment if insample==1 [aw=weight], cluster(school_baseline)
  3. }       
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  1,    67) =    0.99
                                                       Prob > F      =  0.3229
                                                       R-squared     =  0.0024
                                                       Root MSE      =  1.4612

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
      age_01 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.1447946   .1454031    -1.00   0.323    -.4350203    .1454311
       _cons |   13.32685   .1020125   130.64   0.000     13.12323    13.53047
------------------------------------------------------------------------------
(sum of wgt is   1.4629e+03)

Linear regression                                      Number of obs =    1076
                                                       F(  1,    67) =    1.61
                                                       Prob > F      =  0.2085
                                                       R-squared     =  0.0036
                                                       Root MSE      =  .40213

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
bs1_9ironr~f |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0480522   .0378413    -1.27   0.209    -.1235837    .0274792
       _cons |   .8201918   .0243645    33.66   0.000       .77156    .8688235
------------------------------------------------------------------------------
(sum of wgt is   1.0832e+03)

Linear regression                                      Number of obs =     789
                                                       F(  1,    67) =    3.94
                                                       Prob > F      =  0.0512
                                                       R-squared     =  0.0097
                                                       Root MSE      =  4.0164

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
       momed |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .7942954   .4000342     1.99   0.051    -.0041762    1.592767
       _cons |   8.711507   .2918753    29.85   0.000     8.128922    9.294093
------------------------------------------------------------------------------
(sum of wgt is   1.1603e+03)

Linear regression                                      Number of obs =     850
                                                       F(  1,    67) =    1.23
                                                       Prob > F      =  0.2722
                                                       R-squared     =  0.0048
                                                       Root MSE      =  3.9042

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
       daded |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .5456392   .4928886     1.11   0.272    -.4381705    1.529449
       _cons |   10.47141   .3246818    32.25   0.000     9.823347    11.11948
------------------------------------------------------------------------------
(sum of wgt is   1.4208e+03)

Linear regression                                      Number of obs =    1050
                                                       F(  1,    67) =    0.29
                                                       Prob > F      =  0.5899
                                                       R-squared     =  0.0013
                                                       Root MSE      =   .2451

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
  tribe_teso |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0176694   .0326261     0.54   0.590    -.0474526    .0827915
       _cons |   .0554741   .0199479     2.78   0.007     .0156579    .0952902
------------------------------------------------------------------------------
(sum of wgt is   1.4208e+03)

Linear regression                                      Number of obs =    1050
                                                       F(  1,    67) =    1.46
                                                       Prob > F      =  0.2311
                                                       R-squared     =  0.0078
                                                       Root MSE      =  .37992

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
 tribe_luhya |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0674961   .0558456     1.21   0.231     -.043972    .1789643
       _cons |   .7905574   .0447986    17.65   0.000     .7011391    .8799757
------------------------------------------------------------------------------
(sum of wgt is   1.4208e+03)

Linear regression                                      Number of obs =    1050
                                                       F(  1,    67) =    2.06
                                                       Prob > F      =  0.1558
                                                       R-squared     =  0.0101
                                                       Root MSE      =  .26642

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
   tribe_luo |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0538905    .037544    -1.44   0.156    -.1288287    .0210477
       _cons |    .104071   .0326698     3.19   0.002     .0388617    .1692802
------------------------------------------------------------------------------
(sum of wgt is   1.2777e+03)

Linear regression                                      Number of obs =     919
                                                       F(  1,    66) =    0.38
                                                       Prob > F      =  0.5380
                                                       R-squared     =  0.0038
                                                       Root MSE      =   1.018

                       (Std. Err. adjusted for 67 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
  score_2000 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1248442   .2016559     0.62   0.538    -.2777748    .5274632
       _cons |  -4.39e-10   .1308534    -0.00   1.000    -.2612572    .2612572
------------------------------------------------------------------------------
(sum of wgt is   1.3839e+03)

Linear regression                                      Number of obs =     993
                                                       F(  1,    66) =    3.08
                                                       Prob > F      =  0.0839
                                                       R-squared     =  0.0275
                                                       Root MSE      =  1.0188

                       (Std. Err. adjusted for 67 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
   compscore |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .3427087   .1952526     1.76   0.084    -.0471258    .7325432
       _cons |  -4.21e-10   .1351698    -0.00   1.000    -.2698752    .2698752
------------------------------------------------------------------------------
(sum of wgt is   1.9152e+03)

Linear regression                                      Number of obs =    1351
                                                       F(  1,    67) =    3.44
                                                       Prob > F      =  0.0680
                                                       R-squared     =  0.0082
                                                       Root MSE      =  .33115

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
    comppart |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0601485   .0324239     1.86   0.068    -.0045698    .1248669
       _cons |   .7877452   .0267985    29.40   0.000     .7342552    .8412352
------------------------------------------------------------------------------

. 
. preserve

. 
. use edaslib_teacherattendance, clear

. 
. sum actatten if (tchposition==3|tchposition==4)&teso==0&treat==0

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
    actatten |       344    .8221899    .2619762          0          1

. reg actatten treat if (tchposition==3|tchposition==4)&teso==0, cluster(schid)   

Linear regression                                      Number of obs =     666
                                                       F(  1,    66) =    7.70
                                                       Prob > F      =  0.0072
                                                       R-squared     =  0.0214
                                                       Root MSE      =  .23379

                                 (Std. Err. adjusted for 67 clusters in schid)
------------------------------------------------------------------------------
             |               Robust
    actatten |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       treat |   .0691144    .024914     2.77   0.007     .0193719    .1188569
       _cons |   .8221899   .0199339    41.25   0.000     .7823906    .8619893
------------------------------------------------------------------------------

. restore

. 
. *********************;
. 
. ********************************
. *Table 2: 
. ********************************
. 
. local controls="c1 age_survey survey2005 survey2007 meduc feduc"

. 
. *******************
. ***mean effects for test scores
. 
. local tests="arithmetic_1stfo_nm englishvocab_nm raven_nm reading_correct_1stfo_nm swahil
> ivocab_nm"

. 
. foreach var in `tests'{
  2.         sum `var' if treatment==0&insample==1 [aw=weight]
  3.         replace `var'=(`var'-r(mean))/r(sd)
  4. }

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
arithmetic~m |     664  1022.67002   -1.84e-09          1  -3.026698    2.14211
(215 real changes made)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
englishvoc~m |     664  1022.67002   -1.51e-09          1  -2.566887   2.102359
(0 real changes made)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
    raven_nm |     664  1022.67002    9.00e-09          1  -2.954656    2.84221
(323 real changes made)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
reading_co~m |     664  1022.67002    3.35e-09          1  -2.398225   1.841429
(111 real changes made)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
swahilivoc~m |     664  1022.67002    3.96e-09          1  -2.609418   2.312509
(238 real changes made)

. 
. egen depvar=rmean(`tests') if surveyed==1
(9866 missing values generated)

. sum depvar if treat==0&insample==1 [aw=weight]

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
      depvar |     664  1022.67002    2.07e-09   .7900872  -2.220594   1.748172

. replace depvar=(depvar-r(mean))/r(sd)
(1864 real changes made)

. 
. sum depvar if treat==0&insample==1 [aw=weight]

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
      depvar |     664  1022.67002   -5.52e-11          1  -2.810568   2.212631

. xi:  reg depvar treatment `controls' if insample==1 [aweight=weight], robust cluster(scho
> ol_baseline)
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  7,    67) =   30.68
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.2473
                                                       Root MSE      =  .85097

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
      depvar |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .2078116   .0915119     2.27   0.026     .0251531    .3904701
          c1 |   .5346777   .0660876     8.09   0.000     .4027663     .666589
  age_survey |  -.2647485   .0265339    -9.98   0.000    -.3177104   -.2117865
  survey2005 |     -.3416   .0862116    -3.96   0.000     -.513679   -.1695209
  survey2007 |   .1007609    .110932     0.91   0.367    -.1206602    .3221821
       meduc |   .0100977   .0089576     1.13   0.264    -.0077818    .0279773
       feduc |   .0347397    .009619     3.61   0.001     .0155401    .0539392
       _cons |   4.257433   .4965828     8.57   0.000      3.26625    5.248617
------------------------------------------------------------------------------

. 
. ******************
. *****Restricted mean effects
. 
. *************RESTRICTED TO <+2 S.D (not renormalized)
. sum depvar if treat==0&insample==1 &score_2000<2 [aw=weight]

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
      depvar |     434  639.530011    .0561442   .9636038  -2.810568   2.212631

. xi:  reg depvar treatment `controls' if score_2000<2 [aweight=weight], robust cluster(sch
> ool_baseline)
(sum of wgt is   1.2986e+03)

Linear regression                                      Number of obs =     944
                                                       F(  7,    66) =   18.95
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.2036
                                                       Root MSE      =  .84916

                       (Std. Err. adjusted for 67 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
      depvar |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |    .145307   .0821458     1.77   0.082    -.0187023    .3093164
          c1 |   .5063741   .0854898     5.92   0.000     .3356881      .67706
  age_survey |  -.2111524   .0265947    -7.94   0.000    -.2642503   -.1580544
  survey2005 |  -.2334254   .0836949    -2.79   0.007    -.4005278   -.0663231
  survey2007 |   .0193727   .1076065     0.18   0.858    -.1954707    .2342161
       meduc |   .0178514   .0126016     1.42   0.161    -.0073084    .0430112
       feduc |   .0296065     .00823     3.60   0.001     .0131747    .0460383
       _cons |   3.370356   .4741837     7.11   0.000     2.423618    4.317094
------------------------------------------------------------------------------

. 
. *************RESTRICTED TO <=5 WINNERS (not re-normalized)
. 
. foreach p in 10 20 30 40 50 60 70 80 90{
  2.         bysort school_baseline: egen base_score_`p'=pctile(c1_score_2000), p(`p')
  3. }
(191 missing values generated)
(191 missing values generated)
(191 missing values generated)
(191 missing values generated)
(191 missing values generated)
(191 missing values generated)
(191 missing values generated)
(191 missing values generated)
(191 missing values generated)

. 
. bysort school_baseline: egen winners=sum(win)

. egen tag_school=tag(school_baseline)

. *one obs per school so as not to over-weight large schools
. 
. tobit winners base_score* if treatment==1&tag==1&teso==0, ll(0)

Tobit regression                                  Number of obs   =         33
                                                  LR chi2(9)      =      42.94
                                                  Prob > chi2     =     0.0000
Log likelihood = -70.410923                       Pseudo R2       =     0.2337

-------------------------------------------------------------------------------
      winners |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
base_score_10 |   28.60624   11.97538     2.39   0.025     3.890272    53.32221
base_score_20 |  -44.17698   17.14957    -2.58   0.017    -79.57195   -8.782018
base_score_30 |     43.565   13.94072     3.13   0.005     14.79278    72.33723
base_score_40 |   2.162252   20.32198     0.11   0.916    -39.78025    44.10475
base_score_50 |   -28.5002   17.13267    -1.66   0.109    -63.86029    6.859888
base_score_60 |   8.540908    9.94478     0.86   0.399    -11.98411    29.06593
base_score_70 |  -24.89979   8.975308    -2.77   0.011    -43.42392   -6.375666
base_score_80 |   26.47032   9.480011     2.79   0.010     6.904541     46.0361
base_score_90 |    4.43337   3.430537     1.29   0.209    -2.646911    11.51365
        _cons |  -1.115023   7.194071    -0.15   0.878    -15.96286    13.73281
--------------+----------------------------------------------------------------
       /sigma |   4.968939   .7497352                      3.421562    6.516316
-------------------------------------------------------------------------------
  Obs. summary:         11  left-censored observations at winners<=0
                        22     uncensored observations
                         0 right-censored observations

. predict winners_predicted
(option xb assumed; fitted values)
(191 missing values generated)

. 
. tab winners_predicted

     Linear |
 prediction |      Freq.     Percent        Cum.
------------+-----------------------------------
  -29.44909 |         57        0.49        0.49
  -28.59718 |        115        1.00        1.49
  -23.29105 |         84        0.73        2.22
   -21.7485 |         40        0.35        2.57
  -21.66258 |         59        0.51        3.08
  -19.90626 |         71        0.62        3.69
  -19.66604 |         60        0.52        4.21
  -18.76757 |        110        0.95        5.17
  -18.71657 |         87        0.75        5.92
  -18.31199 |        129        1.12        7.04
  -17.23459 |         52        0.45        7.49
  -15.93579 |        132        1.14        8.63
  -14.32705 |        218        1.89       10.52
   -13.8616 |         41        0.36       10.88
  -13.62804 |         69        0.60       11.47
  -13.01823 |        104        0.90       12.38
  -12.58075 |        147        1.27       13.65
  -12.33665 |         61        0.53       14.18
  -11.57849 |        113        0.98       15.16
  -11.27493 |        142        1.23       16.39
  -11.18764 |         64        0.55       16.94
  -11.10396 |         50        0.43       17.38
  -11.08384 |        156        1.35       18.73
  -10.75788 |        120        1.04       19.77
  -10.24034 |         35        0.30       20.07
  -9.631593 |         59        0.51       20.58
  -9.353073 |        104        0.90       21.48
  -9.342221 |         43        0.37       21.86
  -9.263467 |        141        1.22       23.08
  -9.170149 |         29        0.25       23.33
  -8.205504 |        126        1.09       24.42
  -8.023107 |        157        1.36       25.78
  -7.461921 |         98        0.85       26.63
  -7.066956 |         95        0.82       27.45
  -7.005269 |         51        0.44       27.90
  -6.590853 |        114        0.99       28.88
  -6.300664 |        152        1.32       30.20
  -6.192532 |         83        0.72       30.92
  -6.049913 |        149        1.29       32.21
   -5.83111 |         82        0.71       32.92
  -5.429496 |         31        0.27       33.19
   -5.39387 |         70        0.61       33.80
  -4.864495 |         36        0.31       34.11
  -4.465667 |         89        0.77       34.88
  -4.059825 |         88        0.76       35.64
  -3.193987 |         99        0.86       36.50
  -2.846743 |         73        0.63       37.13
  -2.835288 |        119        1.03       38.17
  -2.413767 |        137        1.19       39.35
  -2.199961 |        132        1.14       40.50
  -2.124416 |         92        0.80       41.29
  -2.010253 |         57        0.49       41.79
  -1.858908 |         49        0.42       42.21
  -1.841227 |         70        0.61       42.82
  -1.639684 |         29        0.25       43.07
  -1.102931 |        159        1.38       44.45
  -.7963687 |         88        0.76       45.21
  -.4571413 |         44        0.38       45.59
  -.3653595 |         99        0.86       46.45
  -.2372636 |         71        0.62       47.07
  -.0540291 |        137        1.19       48.25
   .0120686 |         31        0.27       48.52
   .3853872 |         51        0.44       48.96
   .4286563 |         99        0.86       49.82
   .7050112 |        146        1.27       51.09
   .9262864 |         72        0.62       51.71
   1.131718 |         54        0.47       52.18
   1.212037 |         73        0.63       52.81
   1.271656 |         88        0.76       53.57
    1.55096 |         87        0.75       54.33
   2.098166 |        191        1.66       55.98
   2.142695 |         83        0.72       56.70
   2.569122 |         99        0.86       57.56
   2.578905 |        112        0.97       58.53
   3.050734 |        107        0.93       59.46
   3.157338 |         86        0.75       60.20
   3.320023 |         84        0.73       60.93
   3.327104 |        107        0.93       61.86
   3.545763 |         80        0.69       62.55
   3.703482 |        222        1.92       64.48
    3.72087 |         97        0.84       65.32
   4.249794 |         40        0.35       65.66
   4.745543 |         84        0.73       66.39
   4.838312 |         51        0.44       66.83
   4.844776 |        108        0.94       67.77
   4.949461 |        111        0.96       68.73
   5.047099 |         62        0.54       69.27
   5.151877 |         55        0.48       69.75
   5.581167 |        120        1.04       70.79
   5.718257 |         70        0.61       71.39
    5.96244 |         85        0.74       72.13
   6.293495 |        128        1.11       73.24
   6.394188 |         79        0.68       73.92
   6.834501 |         46        0.40       74.32
   6.918429 |        135        1.17       75.49
   7.303473 |        149        1.29       76.78
   8.018071 |         70        0.61       77.39
    8.05996 |        132        1.14       78.53
   8.551647 |         60        0.52       79.05
   10.36344 |         44        0.38       79.43
   10.72205 |         53        0.46       79.89
   12.03226 |         61        0.53       80.42
   12.15054 |         91        0.79       81.21
   12.24589 |        140        1.21       82.42
   12.83035 |         18        0.16       82.58
    12.8559 |        109        0.94       83.53
   13.00329 |         91        0.79       84.31
   13.29411 |         55        0.48       84.79
   13.69263 |        169        1.46       86.26
   14.62407 |         45        0.39       86.65
   17.51465 |        143        1.24       87.88
   17.81842 |        113        0.98       88.86
   18.71804 |        238        2.06       90.93
   18.86188 |         89        0.77       91.70
   19.68777 |        115        1.00       92.69
   19.97912 |         96        0.83       93.53
   23.48802 |         57        0.49       94.02
   24.09761 |         38        0.33       94.35
   28.80853 |        194        1.68       96.03
   31.93087 |         59        0.51       96.54
   32.19505 |        233        2.02       98.56
   33.39347 |         44        0.38       98.94
   58.91482 |         62        0.54       99.48
    60.9192 |         60        0.52      100.00
------------+-----------------------------------
      Total |     11,539      100.00

. replace winners_predicted=0 if winners_predicted<0
(5568 real changes made)

. 
. sum depvar if treat==0&insample==1&winners_predicted<=5 [aw=weight]

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
      depvar |     552  826.040014   -.0597633   1.006673  -2.810568   2.212631

. xi:  reg depvar treatment `controls' [aweight=weight] if winners_predicted<=5, robust clu
> ster(school_baseline)
(sum of wgt is   1.5324e+03)

Linear regression                                      Number of obs =    1081
                                                       F(  7,    50) =   18.09
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.1555
                                                       Root MSE      =  .91542

                       (Std. Err. adjusted for 51 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
      depvar |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1768976   .0809352     2.19   0.034     .0143344    .3394608
          c1 |   .5030517   .0832828     6.04   0.000     .3357733    .6703301
  age_survey |  -.2032222   .0269236    -7.55   0.000    -.2572999   -.1491445
  survey2005 |  -.1890653   .0866433    -2.18   0.034    -.3630935   -.0150371
  survey2007 |   .1480742   .1403622     1.05   0.297    -.1338515    .4299999
       meduc |   .0049334   .0123306     0.40   0.691    -.0198332    .0297001
       feduc |   .0346724   .0125937     2.75   0.008     .0093772    .0599676
       _cons |   3.148804   .5095748     6.18   0.000     2.125293    4.172316
------------------------------------------------------------------------------

. 
. drop tag_school winners winners_predicted  base_score*

. 
. 
. 
. ***Panel A
. gen surveyed_old=surveyed

. replace surveyed=0 if s1_7date3>2007
(108 real changes made)

. 
. sum surveyed if treatment==0&teso==0&gsp_student_baseline==1&school_pulled_out==0& (surve
> yed==1 | intensive_sample==1|died==1|refused==1) [aw=weight]

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
    surveyed |     900  1657.64004    .8161422   .3875835          0          1

. reg surveyed treatment if teso==0&gsp_student_baseline==1&school_pulled_out==0& (surveyed
> ==1 | intensive_sample==1|died==1|refused==1) [aw=weight], cluster(school_baseline)    
(sum of wgt is   3.2370e+03)

Linear regression                                      Number of obs =    1895
                                                       F(  1,    67) =    0.04
                                                       Prob > F      =  0.8362
                                                       R-squared     =  0.0001
                                                       Root MSE      =  .39039

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
    surveyed |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0071765   .0345827    -0.21   0.836    -.0762038    .0618508
       _cons |   .8161422   .0266068    30.67   0.000     .7630349    .8692496
------------------------------------------------------------------------------

. 
. gen found=(surveyed==1|refused==1|died==1)

. replace found=0 if s1_7date3>2007&surveyed==1
(0 real changes made)

. sum found if treatment==0&teso==0&gsp_student_baseline==1&school_pulled_out==0& (found==1
>  | intensive_sample==1) [aw=weight]

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
       found |     900  1657.64004     .839175   .3675738          0          1

. reg found treatment if teso==0&gsp_student_baseline==1&school_pulled_out==0& (found==1 | 
> intensive_sample==1) [aw=weight], cluster(school_baseline)     
(sum of wgt is   3.2370e+03)

Linear regression                                      Number of obs =    1895
                                                       F(  1,    67) =    0.00
                                                       Prob > F      =  0.9620
                                                       R-squared     =  0.0000
                                                       Root MSE      =  .36685

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
       found |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0015823   .0331286     0.05   0.962    -.0645426    .0677072
       _cons |    .839175   .0260229    32.25   0.000      .787233     .891117
------------------------------------------------------------------------------

. 
. sum found if teso==0&gsp_student_baseline==1&school_pulled_out==0& (found==1 | intensive_
> sample==1) [aw=weight]

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
       found |    1895  3236.99007     .839947    .366752          0          1

. 
. ***Panels B & C
. 
. local table2lhs="arithmetic_1stfo_nm englishvocab_nm raven_nm reading_correct_1stfo_nm sw
> ahilivocab_nm anysec s3_inschool s3_1highesteduclev_07"

.         
. foreach lhs in `table2lhs'{
  2.         sum `lhs' if treatment==0&insample==1 [aw=weight]
  3. }       

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
arithmetic~m |     664  1022.67002   -1.67e-09          1  -3.026698    2.14211

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
englishvoc~m |     664  1022.67002   -1.51e-09          1  -2.566887   2.102359

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
    raven_nm |     664  1022.67002    6.84e-09          1  -2.954656    2.84221

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
reading_co~m |     664  1022.67002    3.09e-09          1  -2.398225   1.841429

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
swahilivoc~m |     664  1022.67002    3.38e-09          1  -2.609418   2.312509

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
      anysec |     664  1022.67002    .2960095   .4568393          0          1

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
 s3_inschool |     664  1022.67002    .5152493   .5001442          0          1

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s3_1highe~07 |     664  1022.67002    7.757507   1.212982          4         11

. foreach lhs in `table2lhs'{
  2.         reg `lhs' treatment `controls' if insample==1 [aw=weight], robust cluster(scho
> ol_baseline)
  3. }
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  7,    67) =   16.55
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.1657
                                                       Root MSE      =  .90583

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
arithmetic~m |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |    .134983   .1024703     1.32   0.192    -.0695485    .3395146
          c1 |   .2065814   .0654179     3.16   0.002     .0760068    .3371561
  age_survey |  -.2297122   .0268614    -8.55   0.000    -.2833278   -.1760965
  survey2005 |  -.1517332   .0972666    -1.56   0.123    -.3458782    .0424118
  survey2007 |  -.1910399   .1348095    -1.42   0.161    -.4601207     .078041
       meduc |   .0053706   .0087109     0.62   0.540    -.0120163    .0227576
       feduc |   .0220866   .0102631     2.15   0.035     .0016014    .0425718
       _cons |   3.923813   .4971202     7.89   0.000     2.931557    4.916069
------------------------------------------------------------------------------
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  7,    67) =   32.62
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.1873
                                                       Root MSE      =  .88459

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
englishvoc~m |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1620068   .0924147     1.75   0.084    -.0224537    .3464672
          c1 |   .5739521   .0620407     9.25   0.000     .4501183    .6977859
  age_survey |  -.1973712   .0240985    -8.19   0.000    -.2454719   -.1492704
  survey2005 |  -.2158608   .0942201    -2.29   0.025     -.403925   -.0277966
  survey2007 |   .0381772   .1218947     0.31   0.755    -.2051256      .28148
       meduc |   .0016578    .009287     0.18   0.859    -.0168791    .0201948
       feduc |    .041232   .0098439     4.19   0.000     .0215835    .0608805
       _cons |   2.994864   .4636184     6.46   0.000     2.069477     3.92025
------------------------------------------------------------------------------
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  7,    67) =   17.19
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.1305
                                                       Root MSE      =  .93608

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
    raven_nm |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1819214   .0752394     2.42   0.018     .0317429       .3321
          c1 |   .4452836   .0688246     6.47   0.000     .3079091     .582658
  age_survey |  -.2012129   .0254992    -7.89   0.000    -.2521095   -.1503163
  survey2005 |   -.309009   .0833025    -3.71   0.000    -.4752816   -.1427365
  survey2007 |   .2574421   .1200633     2.14   0.036     .0177948    .4970894
       meduc |   .0036892   .0095936     0.38   0.702    -.0154598    .0228381
       feduc |   .0223659   .0088021     2.54   0.013     .0047969    .0399349
       _cons |   3.264793    .473615     6.89   0.000     2.319454    4.210133
------------------------------------------------------------------------------
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  7,    67) =   38.57
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.1975
                                                       Root MSE      =  .86582

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
reading_co~m |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1243825   .0709839     1.75   0.084    -.0173021     .266067
          c1 |   .4360017   .0532088     8.19   0.000     .3297965     .542207
  age_survey |  -.2206816   .0247522    -8.92   0.000    -.2700872    -.171276
  survey2005 |  -.5126986   .0631921    -8.11   0.000    -.6388306   -.3865667
  survey2007 |   .1815915   .1322406     1.37   0.174    -.0823618    .4455449
       meduc |   .0197272    .009215     2.14   0.036      .001334    .0381204
       feduc |   .0308151   .0085301     3.61   0.001     .0137889    .0478412
       _cons |   3.475414   .4776761     7.28   0.000     2.521969     4.42886
------------------------------------------------------------------------------
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  7,    67) =   16.80
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.1367
                                                       Root MSE      =  .93932

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
swahilivoc~m |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .2176527   .0879554     2.47   0.016     .0420931    .3932124
          c1 |   .4503911   .0846204     5.32   0.000      .281488    .6192942
  age_survey |   -.196894   .0301992    -6.52   0.000    -.2571719   -.1366161
  survey2005 |  -.1601672   .0876299    -1.83   0.072    -.3350772    .0147427
  survey2007 |   .1118786   .0998951     1.12   0.267    -.0875129      .31127
       meduc |   .0094456   .0101765     0.93   0.357    -.0108667    .0297579
       feduc |   .0207372   .0103883     2.00   0.050     2.12e-06    .0414723
       _cons |   3.159834   .5765396     5.48   0.000     2.009056    4.310612
------------------------------------------------------------------------------
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  7,    67) =   44.47
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.1922
                                                       Root MSE      =   .4296

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
      anysec |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0866722   .0406939     2.13   0.037     .0054468    .1678976
          c1 |   .2802598   .0256501    10.93   0.000      .229062    .3314576
  age_survey |  -.0723452   .0136243    -5.31   0.000    -.0995395   -.0451509
  survey2005 |  -.2744465   .0387108    -7.09   0.000    -.3517137   -.1971794
  survey2007 |   -.058819   .0688605    -0.85   0.396    -.1962651     .078627
       meduc |   .0048961   .0043522     1.12   0.265    -.0037909    .0135832
       feduc |   .0201323   .0048015     4.19   0.000     .0105484    .0297162
       _cons |    1.32091   .2714079     4.87   0.000     .7791774    1.862642
------------------------------------------------------------------------------
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  7,    67) =   39.04
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.1995
                                                       Root MSE      =   .4438

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
 s3_inschool |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0791017   .0437988     1.81   0.075     -.008321    .1665244
          c1 |  -.0024788    .031212    -0.08   0.937    -.0647782    .0598205
  age_survey |  -.1002811    .013403    -7.48   0.000    -.1270336   -.0735286
  survey2005 |   .0953467   .0423252     2.25   0.028     .0108652    .1798282
  survey2007 |  -.0960229   .0557555    -1.72   0.090    -.2073114    .0152656
       meduc |   .0059652   .0049872     1.20   0.236    -.0039893    .0159197
       feduc |   .0171975   .0045922     3.74   0.000     .0080314    .0263636
       _cons |   2.158389   .2635148     8.19   0.000     1.632411    2.684367
------------------------------------------------------------------------------
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  7,    67) =   29.13
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.2672
                                                       Root MSE      =  1.0351

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
s3_1highe~07 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0884538   .1034333     0.86   0.396    -.1179999    .2949075
          c1 |   1.031567   .0874363    11.80   0.000     .8570432     1.20609
  age_survey |  -.2050959   .0339707    -6.04   0.000    -.2729016   -.1372901
  survey2005 |   -.536334   .0997666    -5.38   0.000     -.735469    -.337199
  survey2007 |  -.3675458   .1862035    -1.97   0.053    -.7392096     .004118
       meduc |   .0224322   .0101474     2.21   0.030      .002178    .0426864
       feduc |   .0403612   .0106254     3.80   0.000     .0191528    .0615696
       _cons |   10.64756   .6075758    17.52   0.000     9.434837    11.86029
------------------------------------------------------------------------------

. 
. 
. ********************************
. *Tables 3-6: 
. ********************************
. //COMMENT: OLS regressions on mean effect are done later on (section: Table 7)
. 
. local controls="c1 age_survey survey2005 survey2007 meduc feduc "

. 
. local wom = "s12_45_rev s12_46_rev s18_marriage family_choice_unc married_ind s19_total_f
> ert"

. local ethnic= "s13_12_tribe_import_r left_bt s13_13_relig_import_r s12_6biblegrp"

. local dem="s12_39_reverse s12_40_democratic s12_44_rev s12_35 s12_36 s12_37 s12_38 " 

. local sources="s12_16radio s12_17newspaper fav_news_not_none fav_news_nation"

. local polknowledge="s12_27president s12_28vp s12_29edmin s12_30healthmin s12_31ugpres" 

. local sat="s12_43 s12_20_gov_improve s12_19_econ_improve s12_41_satisfied s15_happy"

. local effic="s12_33 s12_34 "

. local int="s12_23_interested s12_26vote2007_restrict sk_group_index"

. local other="sk_trust supportforviolence1 supportforviolence2"

. 
. local table3lhs "`wom'"

. local table4lhs="`ethnic' `dem'"

. local table5lhs="`sources' `polknowledge' `sat'"

. local table6lhs="`effic' `int' `other'"

. 
. 
. foreach lhs in `table3lhs' {
  2.         sum `lhs' if treatment==0&insample==1 [aw=weight]
  3. }

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
  s12_45_rev |     664  1022.67002    .1702472   .3138155          0          1

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
  s12_46_rev |     664  1022.67002    .2530207    .375808          0          1

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s18_marriage |     664  1022.67002    .2072614     .40565          0          1

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
family_cho~c |     664  1022.67002    .0422521   .2013155          0          1

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
 married_ind |     664  1022.67002    .1650092   .3714687          0          1

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s19_total_~t |     661  1019.67002    .3998745   .7640632          0          3

. 
. foreach lhs in `table3lhs' {
  2.         reg `lhs' treatment `controls' [aw=weight] if insample==1, robust cluster(scho
> ol_baseline)
  3. }
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  7,    67) =    1.50
                                                       Prob > F      =  0.1832
                                                       R-squared     =  0.0148
                                                       Root MSE      =   .3096

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
  s12_45_rev |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   -.008864   .0217436    -0.41   0.685    -.0522645    .0345365
          c1 |  -.0602062   .0234202    -2.57   0.012    -.1069531   -.0134592
  age_survey |   .0214336   .0096239     2.23   0.029     .0022241     .040643
  survey2005 |     .02483   .0265717     0.93   0.353    -.0282074    .0778674
  survey2007 |  -.0437706   .0489596    -0.89   0.375    -.1414944    .0539531
       meduc |   .0030214   .0029185     1.04   0.304    -.0028039    .0088467
       feduc |  -.0017196   .0027713    -0.62   0.537    -.0072512    .0038119
       _cons |  -.1977464    .167558    -1.18   0.242    -.5321937    .1367008
------------------------------------------------------------------------------
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  7,    67) =    6.18
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.0316
                                                       Root MSE      =  .35774

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
  s12_46_rev |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0675766   .0241442    -2.80   0.007    -.1157686   -.0193846
          c1 |  -.0475692   .0248851    -1.91   0.060    -.0972401    .0021017
  age_survey |   .0136759   .0092993     1.47   0.146    -.0048855    .0322373
  survey2005 |   .0255844   .0350211     0.73   0.468    -.0443181    .0954869
  survey2007 |  -.1583884   .0346379    -4.57   0.000    -.2275259   -.0892509
       meduc |  -.0043453   .0033863    -1.28   0.204    -.0111045    .0024138
       feduc |  -.0015958   .0029279    -0.55   0.588      -.00744    .0042483
       _cons |   .0846142   .1775984     0.48   0.635    -.2698736    .4391021
------------------------------------------------------------------------------
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  7,    67) =   13.05
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.1322
                                                       Root MSE      =  .36252

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
s18_marriage |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0182931   .0337938    -0.54   0.590    -.0857458    .0491596
          c1 |  -.0232589   .0341509    -0.68   0.498    -.0914244    .0449065
  age_survey |   .0633783   .0100468     6.31   0.000     .0433249    .0834318
  survey2005 |  -.0128003   .0225186    -0.57   0.572    -.0577476     .032147
  survey2007 |    .180717   .0743244     2.43   0.018     .0323649    .3290692
       meduc |  -.0015811   .0039031    -0.41   0.687    -.0093718    .0062096
       feduc |  -.0094431   .0047162    -2.00   0.049    -.0188567   -.0000294
       _cons |  -.8689584   .1858824    -4.67   0.000    -1.239981   -.4979354
------------------------------------------------------------------------------
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  7,    67) =    1.63
                                                       Prob > F      =  0.1423
                                                       R-squared     =  0.0363
                                                       Root MSE      =  .16358

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
family_cho~c |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0237293   .0126248    -1.88   0.065    -.0489284    .0014698
          c1 |  -.0083096   .0173385    -0.48   0.633    -.0429174    .0262981
  age_survey |   .0158411   .0056824     2.79   0.007     .0044991    .0271832
  survey2005 |   .0134107   .0148333     0.90   0.369    -.0161967    .0430181
  survey2007 |   .0261979   .0387923     0.68   0.502    -.0512318    .1036276
       meduc |   .0009561   .0022002     0.43   0.665    -.0034355    .0053477
       feduc |  -.0021761   .0032443    -0.67   0.505    -.0086518    .0042996
       _cons |  -.2360069   .1041959    -2.27   0.027    -.4439827    -.028031
------------------------------------------------------------------------------
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  7,    67) =    9.78
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.0960
                                                       Root MSE      =  .34622

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
 married_ind |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0054362   .0311309     0.17   0.862    -.0567014    .0675738
          c1 |  -.0149493   .0304674    -0.49   0.625    -.0757625    .0458639
  age_survey |   .0475372   .0095177     4.99   0.000     .0285397    .0665347
  survey2005 |   -.026211    .022584    -1.16   0.250    -.0712889    .0188669
  survey2007 |   .1545192   .0775156     1.99   0.050    -.0002027     .309241
       meduc |  -.0025373   .0041291    -0.61   0.541    -.0107791    .0057045
       feduc |   -.007267   .0047574    -1.53   0.131    -.0167627    .0022288
       _cons |  -.6329515   .1807711    -3.50   0.001    -.9937721   -.2721309
------------------------------------------------------------------------------
(sum of wgt is   1.9634e+03)

Linear regression                                      Number of obs =    1371
                                                       F(  7,    67) =   11.12
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.1466
                                                       Root MSE      =   .6758

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
s19_total_~t |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0295348   .0653281    -0.45   0.653    -.1599303    .1008606
          c1 |  -.0651772    .073131    -0.89   0.376    -.2111473    .0807929
  age_survey |   .1243202   .0215909     5.76   0.000     .0812247    .1674158
  survey2005 |   .0399215   .0492188     0.81   0.420    -.0583197    .1381626
  survey2007 |    .357764   .1604162     2.23   0.029      .037572     .677956
       meduc |  -.0019174    .006658    -0.29   0.774    -.0152069    .0113721
       feduc |   -.023525   .0082031    -2.87   0.006    -.0398985   -.0071515
       _cons |  -1.673171   .4013708    -4.17   0.000    -2.474311    -.872032
------------------------------------------------------------------------------

. 
. foreach lhs in `table4lhs' {
  2.         sum `lhs' if treatment==0&insample==1 [aw=weight]
  3. }

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s13_12_tri~r |     664  1022.67002    .1097519   .3128159          0          1

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
     left_bt |     664  1022.67002    .2572775   .4374632          0          1

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s13_13_rel~r |     664  1022.67002    .0136897   .1162868          0          1

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s12_6bible~p |     664  1022.67002    .3712146   .4834939          0          1

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s12_39_rev~e |     664  1022.67002    .9330943   .1902189          0          1

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s12_40_dem~c |     664  1022.67002    .6904476   .4626576          0          1

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
  s12_44_rev |     664  1022.67002    .7251378    .380604          0          1

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s12_35sing~y |     664  1022.67002    .3547381   .3992263          0          1

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s12_36deci~g |     664  1022.67002    .2731575   .3571409          0          1

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s12_37army~p |     664  1022.67002    .6145677   .4080589          0          1

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s12_38elec~t |     664  1022.67002    .6352636   .4117736          0          1

. 
. foreach lhs in `table4lhs' {
  2.         reg `lhs' treatment `controls' [aw=weight] if insample==1, robust cluster(scho
> ol_baseline)
  3. }
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  7,    67) =    1.61
                                                       Prob > F      =  0.1476
                                                       R-squared     =  0.0138
                                                       Root MSE      =  .29223

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
s13_12_tri~r |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0328101   .0199484    -1.64   0.105    -.0726273    .0070072
          c1 |  -.0220926   .0237426    -0.93   0.355     -.069483    .0252977
  age_survey |   .0015151   .0079868     0.19   0.850    -.0144266    .0174568
  survey2005 |   .0174604   .0254331     0.69   0.495    -.0333043     .068225
  survey2007 |  -.0859366   .0368904    -2.33   0.023    -.1595701   -.0123031
       meduc |  -.0012883   .0028081    -0.46   0.648    -.0068932    .0043166
       feduc |  -.0022958   .0029112    -0.79   0.433    -.0081066     .003515
       _cons |   .1303659   .1402536     0.93   0.356    -.1495815    .4103132
------------------------------------------------------------------------------
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  7,    67) =   13.61
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.0977
                                                       Root MSE      =  .41113

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
     left_bt |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |    .005801   .0357418     0.16   0.872    -.0655399    .0771418
          c1 |   .0096519   .0301757     0.32   0.750     -.050579    .0698827
  age_survey |   .0265238   .0104183     2.55   0.013     .0057287    .0473188
  survey2005 |  -.1407822   .0242618    -5.80   0.000     -.189209   -.0923553
  survey2007 |   .2867122   .0765563     3.75   0.000     .1339052    .4395192
       meduc |   .0054397   .0047481     1.15   0.256    -.0040377     .014917
       feduc |  -.0115983   .0057111    -2.03   0.046    -.0229976   -.0001989
       _cons |  -.1836225   .1935537    -0.95   0.346    -.5699573    .2027123
------------------------------------------------------------------------------
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  7,    67) =    4.02
                                                       Prob > F      =  0.0010
                                                       R-squared     =  0.0089
                                                       Root MSE      =  .12592

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
s13_13_rel~r |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |    .004756   .0062478     0.76   0.449    -.0077147    .0172268
          c1 |  -.0005352   .0072269    -0.07   0.941    -.0149601    .0138896
  age_survey |  -.0000459   .0018549    -0.02   0.980    -.0037483    .0036564
  survey2005 |   .0220118   .0138961     1.58   0.118    -.0057249    .0497484
  survey2007 |  -.0162065   .0037765    -4.29   0.000    -.0237444   -.0086685
       meduc |   -.001837   .0008056    -2.28   0.026    -.0034451   -.0002289
       feduc |   .0001991   .0008823     0.23   0.822     -.001562    .0019602
       _cons |   .0247096   .0368192     0.67   0.504    -.0487818    .0982011
------------------------------------------------------------------------------
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  7,    67) =    8.15
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.0600
                                                       Root MSE      =   .4746

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
s12_6bible~p |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |    .017812   .0339233     0.53   0.601    -.0498992    .0855232
          c1 |   .0121599   .0310967     0.39   0.697    -.0499092    .0742291
  age_survey |   -.013623   .0098329    -1.39   0.171    -.0332495    .0060036
  survey2005 |   .1651432    .046845     3.53   0.001     .0716402    .2586462
  survey2007 |  -.2431485   .0554109    -4.39   0.000    -.3537491   -.1325478
       meduc |   .0031514   .0046471     0.68   0.500    -.0061242     .012427
       feduc |   .0077352    .003916     1.98   0.052    -.0000811    .0155516
       _cons |    .534642   .1904777     2.81   0.007      .154447     .914837
------------------------------------------------------------------------------
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  7,    67) =    1.36
                                                       Prob > F      =  0.2348
                                                       R-squared     =  0.0060
                                                       Root MSE      =  .19485

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
s12_39_rev~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0010652   .0140415     0.08   0.940    -.0269618    .0290922
          c1 |  -.0189306   .0152904    -1.24   0.220    -.0494504    .0115892
  age_survey |   .0059251   .0052676     1.12   0.265     -.004589    .0164393
  survey2005 |   .0232456    .016072     1.45   0.153    -.0088343    .0553255
  survey2007 |  -.0098623   .0355402    -0.28   0.782    -.0808007    .0610762
       meduc |   .0028428   .0019635     1.45   0.152    -.0010764    .0067619
       feduc |  -.0017548   .0016984    -1.03   0.305    -.0051448    .0016352
       _cons |   .8282525   .0974587     8.50   0.000     .6337241    1.022781
------------------------------------------------------------------------------
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  7,    67) =   10.70
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.0555
                                                       Root MSE      =  .45282

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
s12_40_dem~c |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0052439   .0353733    -0.15   0.883    -.0758493    .0653615
          c1 |   .0853975   .0359643     2.37   0.020     .0136126    .1571825
  age_survey |  -.0008671   .0108931    -0.08   0.937    -.0226098    .0208756
  survey2005 |  -.2637528   .0403045    -6.54   0.000    -.3442009   -.1833046
  survey2007 |   .0723091   .0733755     0.99   0.328    -.0741491    .2187672
       meduc |  -.0009684   .0045086    -0.21   0.831    -.0099676    .0080309
       feduc |   .0086488   .0037313     2.32   0.024     .0012012    .0160965
       _cons |    .618631   .2034011     3.04   0.003     .2126407    1.024621
------------------------------------------------------------------------------
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  7,    67) =    1.14
                                                       Prob > F      =  0.3500
                                                       R-squared     =  0.0103
                                                       Root MSE      =   .3855

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
  s12_44_rev |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0216586   .0301444    -0.72   0.475    -.0818271    .0385099
          c1 |  -.0023583   .0307874    -0.08   0.939    -.0638101    .0590936
  age_survey |   .0095435   .0103216     0.92   0.358    -.0110586    .0301456
  survey2005 |   .0145525   .0312994     0.46   0.643    -.0479214    .0770263
  survey2007 |   .0686343   .0608767     1.13   0.264    -.0528761    .1901446
       meduc |   .0020477   .0042458     0.48   0.631    -.0064269    .0105223
       feduc |  -.0058739   .0038479    -1.53   0.132    -.0135543    .0018066
       _cons |   .5804618    .202684     2.86   0.006     .1759027    .9850208
------------------------------------------------------------------------------
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  7,    67) =    5.13
                                                       Prob > F      =  0.0001
                                                       R-squared     =  0.0270
                                                       Root MSE      =  .40514

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
s12_35sing~y |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0320025   .0289461     1.11   0.273    -.0257742    .0897791
          c1 |   .0521837   .0271405     1.92   0.059    -.0019889    .1063562
  age_survey |  -.0285498    .010399    -2.75   0.008    -.0493062   -.0077933
  survey2005 |   .0842647   .0295003     2.86   0.006     .0253818    .1431476
  survey2007 |   .0678233   .0608962     1.11   0.269    -.0537261    .1893727
       meduc |  -.0054544   .0036152    -1.51   0.136    -.0126703    .0017615
       feduc |   .0075433   .0042907     1.76   0.083     -.001021    .0161075
       _cons |   .8036579   .2011665     3.99   0.000     .4021279    1.205188
------------------------------------------------------------------------------
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  7,    67) =    2.80
                                                       Prob > F      =  0.0128
                                                       R-squared     =  0.0159
                                                       Root MSE      =  .36366

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
s12_36deci~g |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0233845   .0262128     0.89   0.376    -.0289363    .0757054
          c1 |   .0104724   .0249958     0.42   0.677    -.0394194    .0603642
  age_survey |  -.0205907   .0099029    -2.08   0.041    -.0403568   -.0008245
  survey2005 |   .0165799   .0357686     0.46   0.644    -.0548145    .0879743
  survey2007 |  -.0241652   .0442876    -0.55   0.587    -.1125636    .0642332
       meduc |   .0019897   .0036285     0.55   0.585    -.0052527    .0092321
       feduc |   .0030135   .0034758     0.87   0.389    -.0039242    .0099513
       _cons |   .6061154   .1794523     3.38   0.001     .2479271    .9643037
------------------------------------------------------------------------------
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  7,    67) =    2.50
                                                       Prob > F      =  0.0240
                                                       R-squared     =  0.0232
                                                       Root MSE      =  .40485

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
s12_37army~p |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0023054   .0328966     0.07   0.944    -.0633565    .0679673
          c1 |   .0704623   .0369435     1.91   0.061    -.0032774    .1442019
  age_survey |  -.0280679   .0107618    -2.61   0.011    -.0495486   -.0065871
  survey2005 |   .0232713   .0362032     0.64   0.523    -.0489906    .0955332
  survey2007 |   -.035078   .0642106    -0.55   0.587    -.1632429    .0930869
       meduc |  -.0002462   .0037601    -0.07   0.948    -.0077514     .007259
       feduc |   .0058319   .0046877     1.24   0.218    -.0035247    .0151885
       _cons |   1.047592   .2021041     5.18   0.000     .6441909    1.450994
------------------------------------------------------------------------------
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  7,    67) =    7.83
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.0397
                                                       Root MSE      =  .40053

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
s12_38elec~t |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0062906    .032491    -0.19   0.847    -.0711429    .0585618
          c1 |   .0640554   .0274602     2.33   0.023     .0092446    .1188662
  age_survey |  -.0450869   .0080665    -5.59   0.000    -.0611876   -.0289861
  survey2005 |  -.0496521   .0346477    -1.43   0.156    -.1188093     .019505
  survey2007 |   .0273949   .0603377     0.45   0.651    -.0930397    .1478295
       meduc |  -.0048757    .003892    -1.25   0.215    -.0126442    .0028928
       feduc |   .0118743   .0036537     3.25   0.002     .0045816     .019167
       _cons |   1.360162   .1616325     8.42   0.000     1.037542    1.682782
------------------------------------------------------------------------------

. 
. 
. foreach lhs in `table5lhs' {
  2.         sum `lhs' if treatment==0&insample==1 [aw=weight]
  3. }

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
 s12_16radio |     664  1022.67002    3.590259   2.869234          0          7

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s12_17news~r |     664  1022.67002    .4390957   1.009835          0          7

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
fav_n~t_none |     664  1022.67002    .6656497   .4721185          0          1

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
fav_news_n~n |     664  1022.67002     .304722   .4606366          0          1

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s12_27pres~t |     664  1022.67002    .9970665    .054123          0          1

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
    s12_28vp |     664  1022.67002    .8370931   .3695591          0          1

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
 s12_29edmin |     664  1022.67002    .3303216   .4706834          0          1

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s12_30heal~n |     664  1022.67002    .5096757   .5002832          0          1

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s12_31ugpres |     664  1022.67002    .6233389   .4849141          0          1

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
      s12_43 |     664  1022.67002    .5307121   .4569581          0          1

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s12_20_gov~e |     664  1022.67002    .5617941   .4965408          0          1

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s12_19_eco~e |     664  1022.67002    .5010512   .5003758          0          1

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s12_41_sat~d |     664  1022.67002    .7366045   .2884909          0          1

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
   s15_happy |     664  1022.67002    .6519894   .4766985          0          1

. 
. foreach lhs in `table5lhs' {
  2.         reg `lhs' treatment `controls' [aw=weight] if insample==1, robust cluster(scho
> ol_baseline)
  3. }
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  7,    67) =    3.34
                                                       Prob > F      =  0.0041
                                                       R-squared     =  0.0247
                                                       Root MSE      =  2.8687

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
 s12_16radio |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.6416085   .1975126    -3.25   0.002    -1.035845   -.2473716
          c1 |  -.2092206   .1735181    -1.21   0.232    -.5555642    .1371229
  age_survey |   .0778454   .0878061     0.89   0.378    -.0974163    .2531072
  survey2005 |   .1166186   .2230736     0.52   0.603    -.3286382    .5618753
  survey2007 |  -.3114713    .396393    -0.79   0.435    -1.102675    .4797324
       meduc |   .0784808   .0300108     2.62   0.011      .018579    .1383826
       feduc |   .0096826   .0274261     0.35   0.725    -.0450601    .0644253
       _cons |   1.665895   1.736898     0.96   0.341    -1.800967    5.132757
------------------------------------------------------------------------------
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  7,    67) =    5.02
                                                       Prob > F      =  0.0001
                                                       R-squared     =  0.0646
                                                       Root MSE      =  1.1328

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
s12_17news~r |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1339021    .074138     1.81   0.075    -.0140779    .2818822
          c1 |   .1839754   .0751246     2.45   0.017     .0340261    .3339247
  age_survey |  -.1012694   .0298044    -3.40   0.001    -.1607593   -.0417795
  survey2005 |  -.1890603   .0796484    -2.37   0.020    -.3480391   -.0300815
  survey2007 |   .0971092   .1823999     0.53   0.596    -.2669625    .4611808
       meduc |   .0387845   .0114611     3.38   0.001      .015908    .0616611
       feduc |   .0203038   .0094625     2.15   0.036     .0014165    .0391911
       _cons |   1.777341   .5408123     3.29   0.002     .6978751    2.856807
------------------------------------------------------------------------------
(sum of wgt is   1.9774e+03)

Linear regression                                      Number of obs =    1385
                                                       F(  7,    67) =   17.16
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.0844
                                                       Root MSE      =   .4313

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
fav_n~t_none |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0960038   .0370256     2.59   0.012     .0221004    .1699072
          c1 |   .0942929   .0294319     3.20   0.002     .0355465    .1530392
  age_survey |  -.0485781   .0114685    -4.24   0.000    -.0714694   -.0256869
  survey2005 |  -.0537464   .0424324    -1.27   0.210    -.1384418    .0309491
  survey2007 |   .1060138   .0893442     1.19   0.240     -.072318    .2843456
       meduc |   .0044729   .0038852     1.15   0.254    -.0032819    .0122277
       feduc |   .0170698   .0042372     4.03   0.000     .0086124    .0255272
       _cons |   1.321084   .2229279     5.93   0.000     .8761178     1.76605
------------------------------------------------------------------------------
(sum of wgt is   1.9774e+03)

Linear regression                                      Number of obs =    1385
                                                       F(  7,    67) =    6.63
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.0533
                                                       Root MSE      =  .46932

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
fav_news_n~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1048033   .0353654     2.96   0.004     .0342137    .1753929
          c1 |   .0919108   .0358937     2.56   0.013     .0202667    .1635549
  age_survey |  -.0346774   .0124705    -2.78   0.007    -.0595686   -.0097862
  survey2005 |  -.0211601   .0389809    -0.54   0.589    -.0989664    .0566462
  survey2007 |  -.0638623   .0748715    -0.85   0.397    -.2133063    .0855818
       meduc |   .0002835   .0039978     0.07   0.944    -.0076961    .0082631
       feduc |   .0134585   .0046473     2.90   0.005     .0041825    .0227344
       _cons |   .7852773   .2349785     3.34   0.001     .3162582    1.254296
------------------------------------------------------------------------------
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  7,    67) =    0.99
                                                       Prob > F      =  0.4443
                                                       R-squared     =  0.0057
                                                       Root MSE      =  .05498

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
s12_27pres~t |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0001639   .0023703    -0.07   0.945    -.0048951    .0045673
          c1 |  -.0007359   .0024029    -0.31   0.760     -.005532    .0040603
  age_survey |  -.0024818   .0012258    -2.02   0.047    -.0049285    -.000035
  survey2005 |   .0008187   .0009582     0.85   0.396    -.0010939    .0027313
  survey2007 |   .0062871   .0027463     2.29   0.025     .0008054    .0117688
       meduc |  -.0003528   .0003004    -1.17   0.244    -.0009523    .0002467
       feduc |   -.000179   .0002899    -0.62   0.539    -.0007577    .0003997
       _cons |   1.045998   .0218399    47.89   0.000     1.002405    1.089591
------------------------------------------------------------------------------
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  7,    67) =    3.59
                                                       Prob > F      =  0.0024
                                                       R-squared     =  0.0353
                                                       Root MSE      =  .33797

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
    s12_28vp |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0480353   .0302827     1.59   0.117    -.0124092    .1084798
          c1 |   .0707304   .0224375     3.15   0.002      .025945    .1155158
  age_survey |  -.0363928    .009639    -3.78   0.000    -.0556324   -.0171532
  survey2005 |   -.043355   .0269111    -1.61   0.112    -.0970699    .0103598
  survey2007 |  -.0193925    .058463    -0.33   0.741    -.1360852    .0973002
       meduc |  -.0026233    .003569    -0.74   0.465     -.009747    .0045003
       feduc |   .0027406   .0035516     0.77   0.443    -.0043484    .0098296
       _cons |    1.47295   .1760308     8.37   0.000     1.121591    1.824309
------------------------------------------------------------------------------
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  7,    67) =   18.96
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.0835
                                                       Root MSE      =  .45984

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
 s12_29edmin |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0421985   .0366633     1.15   0.254    -.0309818    .1153789
          c1 |   .0209974   .0319789     0.66   0.514    -.0428328    .0848275
  age_survey |  -.0293147   .0138566    -2.12   0.038    -.0569725   -.0016569
  survey2005 |   .2923473   .0375094     7.79   0.000     .2174783    .3672163
  survey2007 |   .1998545   .0887552     2.25   0.028     .0226985    .3770105
       meduc |   .0050667   .0043668     1.16   0.250    -.0036495    .0137829
       feduc |   .0112762   .0046105     2.45   0.017     .0020735    .0204788
       _cons |   .6600588   .2679979     2.46   0.016     .1251327    1.194985
------------------------------------------------------------------------------
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  7,    67) =    9.34
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.0435
                                                       Root MSE      =  .48689

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
s12_30heal~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0940971   .0325714     2.89   0.005     .0290843      .15911
          c1 |   .1417855   .0336312     4.22   0.000     .0746574    .2089136
  age_survey |  -.0289272   .0122226    -2.37   0.021    -.0533236   -.0045308
  survey2005 |   .0158578   .0317358     0.50   0.619    -.0474871    .0792027
  survey2007 |   .0354752   .0745946     0.48   0.636    -.1134163    .1843667
       meduc |   .0016789   .0048581     0.35   0.731    -.0080179    .0113758
       feduc |   .0103636   .0044895     2.31   0.024     .0014026    .0193246
       _cons |   .8640146   .2374304     3.64   0.001     .3901016    1.337928
------------------------------------------------------------------------------
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  7,    67) =    5.15
                                                       Prob > F      =  0.0001
                                                       R-squared     =  0.0464
                                                       Root MSE      =  .45916

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
s12_31ugpres |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0918175   .0469132     1.96   0.054    -.0018216    .1854566
          c1 |   .0677542   .0346451     1.96   0.055    -.0013977    .1369062
  age_survey |  -.0415657   .0132364    -3.14   0.003    -.0679858   -.0151457
  survey2005 |   .0552608   .0478255     1.16   0.252    -.0401993    .1507208
  survey2007 |   .0099357   .0766986     0.13   0.897    -.1431553    .1630267
       meduc |  -.0050484    .004576    -1.10   0.274    -.0141822    .0040853
       feduc |   .0121343   .0053439     2.27   0.026     .0014679    .0228008
       _cons |   1.270227   .2538228     5.00   0.000      .763594    1.776859
------------------------------------------------------------------------------
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  7,    67) =    4.46
                                                       Prob > F      =  0.0004
                                                       R-squared     =  0.0229
                                                       Root MSE      =  .45479

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
      s12_43 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   -.075738   .0257887    -2.94   0.005    -.1272125   -.0242634
          c1 |   .0174393   .0292812     0.60   0.553    -.0410061    .0758847
  age_survey |   .0203775   .0097393     2.09   0.040     .0009378    .0398172
  survey2005 |   .0829715   .0299799     2.77   0.007     .0231315    .1428116
  survey2007 |  -.1338925   .0698356    -1.92   0.059    -.2732851       .0055
       meduc |   .0076162   .0051588     1.48   0.145    -.0026808    .0179131
       feduc |  -.0069909   .0046026    -1.52   0.133    -.0161778     .002196
       _cons |   .1687549   .1949507     0.87   0.390    -.2203684    .5578782
------------------------------------------------------------------------------
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  7,    67) =    1.34
                                                       Prob > F      =  0.2434
                                                       R-squared     =  0.0101
                                                       Root MSE      =  .49761

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
s12_20_gov~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0535702    .031356    -1.71   0.092    -.1161571    .0090166
          c1 |  -.0793003   .0347444    -2.28   0.026    -.1486504   -.0099502
  age_survey |   .0008568   .0127023     0.07   0.946     -.024497    .0262106
  survey2005 |   .0003469   .0400869     0.01   0.993    -.0796669    .0803608
  survey2007 |  -.0349548    .091031    -0.38   0.702    -.2166535    .1467439
       meduc |  -.0004027   .0050967    -0.08   0.937    -.0105757    .0097703
       feduc |  -.0030148    .004837    -0.62   0.535    -.0126695    .0066399
       _cons |   .6163341    .248345     2.48   0.016     .1206354    1.112033
------------------------------------------------------------------------------
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  7,    67) =    1.67
                                                       Prob > F      =  0.1303
                                                       R-squared     =  0.0098
                                                       Root MSE      =  .49816

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
s12_19_eco~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0583644   .0334318    -1.75   0.085    -.1250946    .0083658
          c1 |  -.0494194   .0376928    -1.31   0.194    -.1246546    .0258159
  age_survey |   .0160776   .0129948     1.24   0.220    -.0098601    .0420153
  survey2005 |  -.0151731   .0416847    -0.36   0.717    -.0983761    .0680299
  survey2007 |   -.042195   .0916043    -0.46   0.647    -.2250381     .140648
       meduc |   .0023625   .0047732     0.49   0.622     -.007165    .0118899
       feduc |  -.0059324   .0046806    -1.27   0.209     -.015275    .0034101
       _cons |   .2739455    .255273     1.07   0.287    -.2355816    .7834725
------------------------------------------------------------------------------
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  7,    67) =    3.07
                                                       Prob > F      =  0.0073
                                                       R-squared     =  0.0194
                                                       Root MSE      =  .29956

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
s12_41_sat~d |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0479904   .0165985    -2.89   0.005    -.0811211   -.0148597
          c1 |  -.0276562   .0222508    -1.24   0.218    -.0720689    .0167565
  age_survey |  -.0001021   .0077393    -0.01   0.990    -.0155497    .0153455
  survey2005 |  -.0314257   .0231607    -1.36   0.179    -.0776547    .0148032
  survey2007 |  -.0148797   .0494984    -0.30   0.765    -.1136789    .0839194
       meduc |  -.0036069   .0035674    -1.01   0.316    -.0107274    .0035136
       feduc |  -.0047047   .0029496    -1.60   0.115    -.0105922    .0011828
       _cons |   .8238349   .1469919     5.60   0.000     .5304379    1.117232
------------------------------------------------------------------------------
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  7,    67) =    1.18
                                                       Prob > F      =  0.3246
                                                       R-squared     =  0.0091
                                                       Root MSE      =  .47905

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
   s15_happy |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0270314   .0391579    -0.69   0.492    -.1051908    .0511281
          c1 |  -.0030853   .0364731    -0.08   0.933     -.075886    .0697154
  age_survey |   .0139477   .0131383     1.06   0.292    -.0122765    .0401719
  survey2005 |  -.0398721    .046427    -0.86   0.394    -.1325408    .0527965
  survey2007 |   -.022173   .0852484    -0.26   0.796    -.1923295    .1479836
       meduc |   .0078338   .0050634     1.55   0.127    -.0022727    .0179403
       feduc |   .0029804   .0044848     0.66   0.509    -.0059713    .0119321
       _cons |   .3254544    .253241     1.29   0.203    -.1800168    .8309257
------------------------------------------------------------------------------

. 
. foreach lhs in `table6lhs' {
  2.         sum `lhs' if treatment==0&insample==1 [aw=weight]
  3. }

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s12_33poli~r |     664  1022.67002    .1603841   .2862194          0          1

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s12_34worl~p |     664  1022.67002    .3042404   .3721277          0          1

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s12_23_int~d |     664  1022.67002    .2616387   .4398582          0          1

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s12_26vote~t |     446  768.400017    .4828865   .5002682          0          1

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
sk_group_i~x |     664  1022.67002      1.4058   1.388374          0          6

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
    sk_trust |     664  1022.67002    .1872354   .3903944          0          1

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
supportfor~1 |     664  1022.67002    .2533825   .3917471          0          1

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
supportfor~2 |     664  1022.67002    .2320983   .4224897          0          1

. 
. foreach lhs in `table6lhs' {
  2.         reg `lhs' treatment `controls' [aw=weight] if insample==1, robust cluster(scho
> ol_baseline)
  3. }
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  7,    67) =   12.92
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.0509
                                                       Root MSE      =  .28507

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
s12_33poli~r |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0091938   .0196689     0.47   0.642    -.0300655    .0484531
          c1 |  -.0661608   .0158427    -4.18   0.000    -.0977829   -.0345387
  age_survey |   .0192827   .0054984     3.51   0.001     .0083078    .0302575
  survey2005 |   .1540333   .0255541     6.03   0.000     .1030271    .2050396
  survey2007 |  -.0986281   .0339134    -2.91   0.005    -.1663194   -.0309367
       meduc |   .0002302   .0024234     0.09   0.925     -.004607    .0050674
       feduc |  -.0017505   .0028936    -0.60   0.547    -.0075262    .0040252
       _cons |  -.1552037   .1080093    -1.44   0.155    -.3707912    .0603838
------------------------------------------------------------------------------
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  7,    67) =    3.89
                                                       Prob > F      =  0.0013
                                                       R-squared     =  0.0198
                                                       Root MSE      =  .37521

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
s12_34worl~p |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0197269   .0272371     0.72   0.471    -.0346386    .0740924
          c1 |   -.014831   .0286211    -0.52   0.606     -.071959     .042297
  age_survey |  -.0012719   .0105827    -0.12   0.905    -.0223951    .0198513
  survey2005 |   .0889191   .0329567     2.70   0.009     .0231372     .154701
  survey2007 |  -.1030158   .0572001    -1.80   0.076    -.2171877     .011156
       meduc |  -.0012505   .0038272    -0.33   0.745    -.0088896    .0063886
       feduc |  -.0047488    .003656    -1.30   0.198    -.0120462    .0025485
       _cons |   .3882512   .1872444     2.07   0.042     .0145098    .7619926
------------------------------------------------------------------------------
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  7,    67) =    6.46
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.0241
                                                       Root MSE      =    .429

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
s12_23_int~d |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   -.028391   .0279507    -1.02   0.313    -.0841807    .0273988
          c1 |   .0072039   .0335158     0.21   0.830     -.059694    .0741017
  age_survey |   .0127451   .0102543     1.24   0.218    -.0077226    .0332127
  survey2005 |   .1466498   .0341762     4.29   0.000     .0784339    .2148657
  survey2007 |  -.0597658   .0732431    -0.82   0.417    -.2059596     .086428
       meduc |  -.0091066   .0039945    -2.28   0.026    -.0170798   -.0011335
       feduc |   .0116668     .00387     3.01   0.004     .0039422    .0193915
       _cons |  -.0305974    .197956    -0.15   0.878    -.4257193    .3645245
------------------------------------------------------------------------------
(sum of wgt is   1.4668e+03)

Linear regression                                      Number of obs =     963
                                                       F(  7,    66) =   14.73
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.0879
                                                       Root MSE      =  .47888

                       (Std. Err. adjusted for 67 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
s12_26vote~t |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0247895   .0445588    -0.56   0.580     -.113754     .064175
          c1 |   .0165415    .048931     0.34   0.736    -.0811524    .1142355
  age_survey |   .0669703   .0190532     3.51   0.001     .0289295    .1050112
  survey2005 |   .3335265   .0485913     6.86   0.000     .2365109    .4305421
  survey2007 |  -.2113809   .0818314    -2.58   0.012    -.3747625   -.0479993
       meduc |  -.0130632   .0070829    -1.84   0.070    -.0272046    .0010782
       feduc |  -.0019369   .0062424    -0.31   0.757    -.0144003    .0105265
       _cons |   -.684711   .3624269    -1.89   0.063     -1.40832    .0388977
------------------------------------------------------------------------------
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  7,    67) =   10.74
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.0867
                                                       Root MSE      =  1.3341

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
sk_group_i~x |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |    .059004   .1052196     0.56   0.577    -.1510153    .2690232
          c1 |   .1410451   .0979008     1.44   0.154    -.0543658    .3364561
  age_survey |  -.1207193   .0329788    -3.66   0.000    -.1865452   -.0548934
  survey2005 |    .535369    .138718     3.86   0.000     .2584866    .8122513
  survey2007 |  -.4192486   .1686661    -2.49   0.015    -.7559074   -.0825897
       meduc |   .0105763   .0131943     0.80   0.426    -.0157597    .0369122
       feduc |    .035387   .0110414     3.20   0.002     .0133483    .0574257
       _cons |   3.149785   .6540013     4.82   0.000     1.844393    4.455177
------------------------------------------------------------------------------
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  7,    67) =    2.80
                                                       Prob > F      =  0.0128
                                                       R-squared     =  0.0251
                                                       Root MSE      =  .37557

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
    sk_trust |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0179134   .0250713    -0.71   0.477    -.0679559    .0321291
          c1 |  -.0554733    .032533    -1.71   0.093    -.1204095    .0094629
  age_survey |    .021211   .0092456     2.29   0.025     .0027568    .0396653
  survey2005 |   .0256324   .0250071     1.03   0.309    -.0242819    .0755468
  survey2007 |  -.0159782   .0603308    -0.26   0.792    -.1363991    .1044426
       meduc |  -.0072811   .0043212    -1.68   0.097    -.0159062     .001344
       feduc |  -.0043203   .0040159    -1.08   0.286     -.012336    .0036954
       _cons |  -.0893613   .1668961    -0.54   0.594    -.4224873    .2437647
------------------------------------------------------------------------------
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  7,    67) =    3.57
                                                       Prob > F      =  0.0025
                                                       R-squared     =  0.0124
                                                       Root MSE      =  .40457

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
supportfor~1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0402078   .0281632     1.43   0.158    -.0160061    .0964217
          c1 |   -.026655   .0314277    -0.85   0.399     -.089385     .036075
  age_survey |   .0145349    .009068     1.60   0.114    -.0035649    .0326348
  survey2005 |   .0914678   .0275178     3.32   0.001      .036542    .1463936
  survey2007 |  -.0191091   .0605319    -0.32   0.753    -.1399314    .1017131
       meduc |  -.0044044   .0034005    -1.30   0.200    -.0111918    .0023831
       feduc |  -.0008374   .0037775    -0.22   0.825    -.0083774    .0067026
       _cons |   .0274516   .1710578     0.16   0.873    -.3139812    .3688843
------------------------------------------------------------------------------
(sum of wgt is   1.9764e+03)

Linear regression                                      Number of obs =    1384
                                                       F(  7,    67) =    3.59
                                                       Prob > F      =  0.0024
                                                       R-squared     =  0.0148
                                                       Root MSE      =  .43606

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
supportfor~2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0592797    .028696     2.07   0.043     .0020022    .1165572
          c1 |  -.0412703   .0334004    -1.24   0.221    -.1079378    .0253973
  age_survey |   .0176614   .0094809     1.86   0.067    -.0012626    .0365854
  survey2005 |   .0835889   .0276165     3.03   0.004      .028466    .1387117
  survey2007 |  -.0267608   .0682838    -0.39   0.696    -.1630559    .1095343
       meduc |  -.0029621   .0035779    -0.83   0.411    -.0101036    .0041794
       feduc |  -.0035659   .0040022    -0.89   0.376    -.0115543    .0044226
       _cons |   -.027473   .1815186    -0.15   0.880    -.3897857    .3348397
------------------------------------------------------------------------------

. 
. *****RESTRICTED SAMPLE FOR ETHNIC IDENTITY
. gen late=(s1_7date3>2006&s1_7date3!=.)

. 
. sum s13_12_tribe_import_r if treatment==0&insample==1&late!=1 [aw=weight]

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s13_12_tri~r |     638  891.890013    .1258451    .331935          0          1

. reg s13_12_tribe_import_r treatment c1 age_survey survey2005 survey2007 meduc feduc if in
> sample==1&late!=1 [aw=weight], robust cluster(school_baseline)
(sum of wgt is   1.7732e+03)
note: survey2007 omitted because of collinearity

Linear regression                                      Number of obs =    1346
                                                       F(  6,    67) =    2.40
                                                       Prob > F      =  0.0365
                                                       R-squared     =  0.0133
                                                       Root MSE      =  .30321

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
s13_12_tri~r |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0422484   .0211574    -2.00   0.050    -.0844788    -.000018
          c1 |  -.0350095   .0233308    -1.50   0.138     -.081578    .0115589
  age_survey |   .0057478   .0085318     0.67   0.503    -.0112817    .0227773
  survey2005 |   .0216481   .0256507     0.84   0.402    -.0295509    .0728472
  survey2007 |          0  (omitted)
       meduc |   -.002817   .0027446    -1.03   0.308    -.0082952    .0026611
       feduc |  -.0025001    .003097    -0.81   0.422    -.0086817    .0036815
       _cons |   .0764221   .1554937     0.49   0.625    -.2339446    .3867888
------------------------------------------------------------------------------

. 
. 
. **************************************
. *******TABLE 7: mean effects
. **************************************
. 
. *replace bubs12_46_nm=.5 if s12_46==2.5
. 
. local wom="s12_45_rev s12_46_rev family_choice_unc"

. local dem="s12_39_reverse s12_40_democratic s12_44_rev s12_35 s12_36 s12_37 s12_38" 

. local polknowledge="s12_27president s12_28vp s12_29edmin s12_30healthmin s12_31ugpres" 

. local sat="s12_43 s12_20_gov_improve s12_19_econ_improve s12_41_satisfied"

. local effic="s12_33 s12_34"

. local int="s12_23_interested s12_26vote2007_restrict sk_group_index"

. 
. 
. preserve

. *****OLS for rows 1, 6, 8, 2, 9, 10
. foreach categ in wom dem polknowledge sat effic int{
  2. 
. local cat="``categ''"
  3. local cat_name="`categ'"
  4. foreach var in `cat'{
  5.         sum `var' if treatment==0&insample==1 [aw=weight]
  6.         replace `var'=(`var'-r(mean))/r(sd)
  7. }
  8. 
. egen depvar_`categ'=rmean(`cat') if insample==1
  9. sum depvar_`categ' if treatment==0&insample==1 [aw=weight]
 10. replace depvar_`categ'=(depvar_`categ'-r(mean))/r(sd)
 11. 
. xi: reg depvar_`cat_name' treatment `controls' if insample==1 [aweight=weight], robust cl
> uster(school_baseline)
 12. xi: ivregress 2sls depvar_`cat_name' `controls' (all_tests_nm = treatment) if insample
> ==1 [aw=weight], cluster(school_baseline)
 13. xi: reg depvar_`cat_name' all_tests_nm `controls' if insample==1&treatment==0 [aweight
> =weight], robust cluster(school_baseline)
 14. }

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
  s12_45_rev |     664  1022.67002    .1702472   .3138155          0          1
(1864 real changes made)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
  s12_46_rev |     664  1022.67002    .2530207    .375808          0          1
(1864 real changes made)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
family_cho~c |     664  1022.67002    .0422521   .2013155          0          1
(1402 real changes made)
(10343 missing values generated)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
  depvar_wom |     664  1022.67002   -2.23e-09   .5995313  -.4752195   2.067534
(1387 real changes made)
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  7,    67) =    5.00
                                                       Prob > F      =  0.0001
                                                       R-squared     =  0.0396
                                                       Root MSE      =  .96134

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
  depvar_wom |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.1812159   .0770099    -2.35   0.022    -.3349282   -.0275035
          c1 |  -.1999936   .0772157    -2.59   0.012    -.3541168   -.0458704
  age_survey |   .1019566   .0297728     3.42   0.001     .0425299    .1613834
  survey2005 |   .1188798   .0891213     1.33   0.187    -.0590071    .2967667
  survey2007 |   -.239524   .1593954    -1.50   0.138    -.5576786    .0786306
       meduc |    .001565   .0100134     0.16   0.876    -.0184218    .0215518
       feduc |  -.0114176   .0104147    -1.10   0.277    -.0322053    .0093702
       _cons |  -1.669618   .5639157    -2.96   0.004    -2.795198   -.5440376
------------------------------------------------------------------------------
(sum of wgt is   1.9794e+03)

Instrumental variables (2SLS) regression               Number of obs =    1387
                                                       Wald chi2(7)  =   21.83
                                                       Prob > chi2   =  0.0027
                                                       R-squared     =       .
                                                       Root MSE      =  1.0738

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
  depvar_wom |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
all_tests_nm |  -.8720199   .4931991    -1.77   0.077    -1.838672    .0946326
          c1 |    .266256   .3013388     0.88   0.377    -.3243571    .8568691
  age_survey |  -.1289093   .1372536    -0.94   0.348    -.3979215    .1401029
  survey2005 |  -.1790022   .1974127    -0.91   0.365     -.565924    .2079197
  survey2007 |  -.1516585   .1702509    -0.89   0.373    -.4853442    .1820272
       meduc |   .0103704   .0123398     0.84   0.401    -.0138151    .0345559
       feduc |   .0188761   .0183572     1.03   0.304    -.0171032    .0548555
       _cons |   2.042948   2.296034     0.89   0.374    -2.457195    6.543092
------------------------------------------------------------------------------
Instrumented:  all_tests_nm
Instruments:   c1 age_survey survey2005 survey2007 meduc feduc treatment
(sum of wgt is   1.0227e+03)

Linear regression                                      Number of obs =     664
                                                       F(  7,    34) =    5.02
                                                       Prob > F      =  0.0006
                                                       R-squared     =  0.0851
                                                       Root MSE      =  .96157

                       (Std. Err. adjusted for 35 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
  depvar_wom |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
all_tests_nm |  -.2856892   .0781538    -3.66   0.001    -.4445168   -.1268615
          c1 |   .0980152   .1197243     0.82   0.419    -.1452938    .3413242
  age_survey |  -.0013571   .0421165    -0.03   0.974    -.0869482    .0842339
  survey2005 |  -.0384129   .1360106    -0.28   0.779    -.3148196    .2379939
  survey2007 |  -.0518628   .1905569    -0.27   0.787     -.439121    .3353953
       meduc |  -.0091544   .0141578    -0.65   0.522    -.0379265    .0196177
       feduc |  -.0009154   .0143355    -0.06   0.949    -.0300486    .0282179
       _cons |   .0621819   .8045533     0.08   0.939    -1.572867    1.697231
------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s12_39_rev~e |     664  1022.67002    .9330943   .1902189          0          1
(1863 real changes made)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s12_40_dem~c |     664  1022.67002    .6904476   .4626576          0          1
s12_40_democratic was byte now float
(1862 real changes made)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
  s12_44_rev |     664  1022.67002    .7251378    .380604          0          1
(1864 real changes made)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s12_35sing~y |     664  1022.67002    .3547381   .3992263          0          1
(1863 real changes made)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s12_36deci~g |     664  1022.67002    .2731575   .3571409          0          1
(1864 real changes made)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s12_37army~p |     664  1022.67002    .6145677   .4080589          0          1
(1864 real changes made)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s12_38elec~t |     664  1022.67002    .6352636   .4117736          0          1
(1861 real changes made)
(10343 missing values generated)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
  depvar_dem |     664  1022.67002   -1.74e-09   .4631348  -1.508227   1.032107
(1387 real changes made)
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  7,    67) =    2.96
                                                       Prob > F      =  0.0091
                                                       R-squared     =  0.0238
                                                       Root MSE      =  1.0082

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
  depvar_dem |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0226317   .0980898     0.23   0.818    -.1731564    .2184199
          c1 |   .1749369   .0847647     2.06   0.043     .0057459    .3441278
  age_survey |  -.0780691   .0290294    -2.69   0.009     -.136012   -.0201262
  survey2005 |  -.0665342   .0887097    -0.75   0.456    -.2435994     .110531
  survey2007 |   .1133775   .1689858     0.67   0.505    -.2239196    .4506746
       meduc |  -.0007105   .0123231    -0.06   0.954    -.0253076    .0238865
       feduc |   .0198946   .0098221     2.03   0.047     .0002896    .0394996
       _cons |   1.169626   .5733372     2.04   0.045     .0252402    2.314012
------------------------------------------------------------------------------
(sum of wgt is   1.9794e+03)

Instrumental variables (2SLS) regression               Number of obs =    1387
                                                       Wald chi2(7)  =   23.11
                                                       Prob > chi2   =  0.0016
                                                       R-squared     =  0.0704
                                                       Root MSE      =  .98103

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
  depvar_dem |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
all_tests_nm |   .1089051   .4355428     0.25   0.803    -.7447431    .9625532
          c1 |   .1167078   .2225793     0.52   0.600    -.3195397    .5529552
  age_survey |  -.0492367   .1213365    -0.41   0.685    -.2870518    .1885785
  survey2005 |  -.0293322    .181933    -0.16   0.872    -.3859144      .32725
  survey2007 |   .1024041   .1615366     0.63   0.526    -.2142018      .41901
       meduc |  -.0018102    .013379    -0.14   0.892    -.0280325    .0244121
       feduc |   .0161113   .0171727     0.94   0.348    -.0175466    .0497692
       _cons |     .70597   2.031415     0.35   0.728     -3.27553     4.68747
------------------------------------------------------------------------------
Instrumented:  all_tests_nm
Instruments:   c1 age_survey survey2005 survey2007 meduc feduc treatment
(sum of wgt is   1.0227e+03)

Linear regression                                      Number of obs =     664
                                                       F(  7,    34) =    9.08
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.1292
                                                       Root MSE      =  .93815

                       (Std. Err. adjusted for 35 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
  depvar_dem |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
all_tests_nm |   .3439774   .0598339     5.75   0.000     .2223802    .4655746
          c1 |   .1392837   .1128601     1.23   0.226    -.0900757     .368643
  age_survey |   .0067088   .0319141     0.21   0.835    -.0581485    .0715661
  survey2005 |   .0724399   .1202138     0.60   0.551    -.1718639    .3167436
  survey2007 |  -.0021803   .2165742    -0.01   0.992     -.442312    .4379515
       meduc |  -.0093619   .0138962    -0.67   0.505    -.0376024    .0188786
       feduc |   .0058951   .0113831     0.52   0.608     -.017238    .0290283
       _cons |  -.1848341   .6166808    -0.30   0.766     -1.43808    1.068412
------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s12_27pres~t |     664  1022.67002    .9970665    .054123          0          1
s12_27president was byte now float
(1863 real changes made)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
    s12_28vp |     664  1022.67002    .8370931   .3695591          0          1
s12_28vp was byte now float
(1864 real changes made)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
 s12_29edmin |     664  1022.67002    .3303216   .4706834          0          1
s12_29edmin was byte now float
(1863 real changes made)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s12_30heal~n |     664  1022.67002    .5096757   .5002832          0          1
s12_30healthmin was byte now float
(1864 real changes made)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s12_31ugpres |     664  1022.67002    .6233389   .4849141          0          1
s12_31ugpres was byte now float
(1864 real changes made)
(10343 missing values generated)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
depvar_pol~e |     664  1022.67002   -2.29e-09   .5860797  -4.738672   .7349291
(1387 real changes made)
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  7,    67) =   12.78
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.0791
                                                       Root MSE      =  .92946

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
depvar_pol~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .2027171   .0853692     2.37   0.020     .0323195    .3731148
          c1 |   .2202908     .05921     3.72   0.000     .1021071    .3384746
  age_survey |  -.1194891    .026191    -4.56   0.000    -.1717665   -.0672116
  survey2005 |   .2267886   .0621768     3.65   0.001     .1026833     .350894
  survey2007 |   .1978206    .124273     1.59   0.116    -.0502294    .4458705
       meduc |   -.003381   .0105977    -0.32   0.751    -.0245341    .0177721
       feduc |   .0251859   .0095159     2.65   0.010     .0061922    .0441797
       _cons |   1.831666   .5086029     3.60   0.001     .8164908    2.846842
------------------------------------------------------------------------------
(sum of wgt is   1.9794e+03)

Instrumental variables (2SLS) regression               Number of obs =    1387
                                                       Wald chi2(7)  =   99.82
                                                       Prob > chi2   =  0.0000
                                                       R-squared     =       .
                                                       Root MSE      =  .97874

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
depvar_pol~e |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
all_tests_nm |   .9754852   .3251879     3.00   0.003     .3381286    1.612842
          c1 |  -.3012793   .1753122    -1.72   0.086    -.6448848    .0423263
  age_survey |   .1387691   .0834481     1.66   0.096    -.0247862    .3023245
  survey2005 |   .5600143   .1342894     4.17   0.000     .2968119    .8232168
  survey2007 |   .0995298   .1193044     0.83   0.404    -.1343026    .3333621
       meduc |  -.0132312   .0105508    -1.25   0.210    -.0339104     .007448
       feduc |  -.0087021    .015753    -0.55   0.581    -.0395774    .0221732
       _cons |  -2.321397   1.380648    -1.68   0.093    -5.027418    .3846246
------------------------------------------------------------------------------
Instrumented:  all_tests_nm
Instruments:   c1 age_survey survey2005 survey2007 meduc feduc treatment
(sum of wgt is   1.0227e+03)

Linear regression                                      Number of obs =     664
                                                       F(  7,    34) =   25.71
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.2278
                                                       Root MSE      =   .8834

                       (Std. Err. adjusted for 35 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
depvar_pol~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
all_tests_nm |   .4636866   .0445331    10.41   0.000     .3731844    .5541889
          c1 |   .0417643   .0792658     0.53   0.602    -.1193231    .2028517
  age_survey |   .0038148   .0365476     0.10   0.917    -.0704588    .0780885
  survey2005 |   .3566659   .0792803     4.50   0.000     .1955489    .5177829
  survey2007 |    .201698   .1427335     1.41   0.167    -.0883714    .4917674
       meduc |  -.0101026   .0107479    -0.94   0.354     -.031945    .0117398
       feduc |   -.000246   .0115386    -0.02   0.983    -.0236953    .0232032
       _cons |  -.0878035   .7017741    -0.13   0.901     -1.51398    1.338373
------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
      s12_43 |     664  1022.67002    .5307121   .4569581          0          1
(1864 real changes made)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s12_20_gov~e |     664  1022.67002    .5617941   .4965408          0          1
s12_20_gov_improve was byte now float
(1864 real changes made)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s12_19_eco~e |     664  1022.67002    .5010512   .5003758          0          1
s12_19_econ_improve was byte now float
(1864 real changes made)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s12_41_sat~d |     664  1022.67002    .7366045   .2884909          0          1
(1846 real changes made)
(10343 missing values generated)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
  depvar_sat |     664  1022.67002   -6.73e-10   .5827964  -1.461867   .9549147
(1387 real changes made)
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  7,    67) =    4.91
                                                       Prob > F      =  0.0002
                                                       R-squared     =  0.0272
                                                       Root MSE      =  1.0334

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
  depvar_sat |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.2387718   .0613996    -3.89   0.000    -.3613259   -.1162177
          c1 |  -.1356267   .0735466    -1.84   0.070    -.2824263    .0111729
  age_survey |   .0335007   .0251096     1.33   0.187    -.0166183    .0836197
  survey2005 |    .018453   .0795865     0.23   0.817    -.1404022    .1773083
  survey2007 |  -.2141869   .1767902    -1.21   0.230    -.5670616    .1386878
       meduc |   .0034639    .011018     0.31   0.754    -.0185281    .0254558
       feduc |  -.0212485   .0106278    -2.00   0.050    -.0424616   -.0000354
       _cons |  -.3576566   .5010823    -0.71   0.478    -1.357821    .6425078
------------------------------------------------------------------------------
(sum of wgt is   1.9794e+03)

Instrumental variables (2SLS) regression               Number of obs =    1387
                                                       Wald chi2(7)  =   11.71
                                                       Prob > chi2   =  0.1106
                                                       R-squared     =       .
                                                       Root MSE      =  1.3179

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
  depvar_sat |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
all_tests_nm |  -1.148982   .4941015    -2.33   0.020    -2.117403    -.180561
          c1 |   .4787084   .2615294     1.83   0.067    -.0338798    .9912965
  age_survey |  -.2706905   .1323242    -2.05   0.041    -.5300412   -.0113398
  survey2005 |  -.3740392   .2183251    -1.71   0.087    -.8019485      .05387
  survey2007 |  -.0984144   .2210309    -0.45   0.656    -.5316271    .3347983
       meduc |    .015066   .0154043     0.98   0.328    -.0151259    .0452579
       feduc |   .0186667   .0187298     1.00   0.319     -.018043    .0553764
       _cons |   4.534058   2.223835     2.04   0.041     .1754211    8.892695
------------------------------------------------------------------------------
Instrumented:  all_tests_nm
Instruments:   c1 age_survey survey2005 survey2007 meduc feduc treatment
(sum of wgt is   1.0227e+03)

Linear regression                                      Number of obs =     664
                                                       F(  7,    34) =    2.18
                                                       Prob > F      =  0.0606
                                                       R-squared     =  0.0391
                                                       Root MSE      =  .98547

                       (Std. Err. adjusted for 35 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
  depvar_sat |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
all_tests_nm |  -.1768157   .0546498    -3.24   0.003    -.2878775   -.0657539
          c1 |  -.0339445   .1087505    -0.31   0.757    -.2549521    .1870632
  age_survey |  -.0059682   .0358041    -0.17   0.869    -.0787308    .0667944
  survey2005 |   .0278193   .0956263     0.29   0.773    -.1665168    .2221554
  survey2007 |  -.0407033   .2543423    -0.16   0.874    -.5575891    .4761825
       meduc |   .0185656    .015159     1.22   0.229    -.0122413    .0493725
       feduc |  -.0212103    .016737    -1.27   0.214    -.0552238    .0128033
       _cons |   .1948652   .7242792     0.27   0.790    -1.277047    1.666778
------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s12_33poli~r |     664  1022.67002    .1603841   .2862194          0          1
(1864 real changes made)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s12_34worl~p |     664  1022.67002    .3042404   .3721277          0          1
(1863 real changes made)
(10343 missing values generated)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
depvar_effic |     664  1022.67002    2.83e-09    .773344  -.6889617   2.401575
(1387 real changes made)
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  7,    67) =   13.29
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.0546
                                                       Root MSE      =  .96485

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
depvar_effic |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0550419   .0656909     0.84   0.405    -.0760777    .1861614
          c1 |  -.1752186   .0629278    -2.78   0.007    -.3008231   -.0496141
  age_survey |   .0413479   .0231334     1.79   0.078    -.0048266    .0875225
  survey2005 |   .5024369   .0812778     6.18   0.000     .3402057    .6646681
  survey2007 |  -.4017735   .1196706    -3.36   0.001    -.6406371     -.16291
       meduc |  -.0016526   .0089474    -0.18   0.854    -.0195116    .0162064
       feduc |  -.0122049   .0095539    -1.28   0.206    -.0312745    .0068647
       _cons |   -.566921   .4247059    -1.33   0.186    -1.414638    .2807956
------------------------------------------------------------------------------
(sum of wgt is   1.9794e+03)

Instrumental variables (2SLS) regression               Number of obs =    1387
                                                       Wald chi2(7)  =   86.07
                                                       Prob > chi2   =  0.0000
                                                       R-squared     =       .
                                                       Root MSE      =  .99939

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
depvar_effic |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
all_tests_nm |   .2648643   .3456146     0.77   0.443    -.4125278    .9422564
          c1 |  -.3168356   .2005049    -1.58   0.114    -.7098181    .0761468
  age_survey |   .1114704   .0900657     1.24   0.216    -.0650552    .2879959
  survey2005 |   .5929145   .1393901     4.25   0.000     .3197149    .8661141
  survey2007 |  -.4284615   .1091528    -3.93   0.000    -.6423971   -.2145259
       meduc |  -.0043271   .0098755    -0.44   0.661    -.0236828    .0150286
       feduc |  -.0214062   .0171834    -1.25   0.213    -.0550851    .0122727
       _cons |  -1.694563   1.469876    -1.15   0.249    -4.575467    1.186341
------------------------------------------------------------------------------
Instrumented:  all_tests_nm
Instruments:   c1 age_survey survey2005 survey2007 meduc feduc treatment
(sum of wgt is   1.0227e+03)

Linear regression                                      Number of obs =     664
                                                       F(  7,    34) =    6.94
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.0601
                                                       Root MSE      =  .97465

                       (Std. Err. adjusted for 35 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
depvar_effic |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
all_tests_nm |  -.0332275   .0499927    -0.66   0.511    -.1348249    .0683698
          c1 |  -.2497325   .1014192    -2.46   0.019    -.4558412   -.0436238
  age_survey |   .0334863   .0404508     0.83   0.414    -.0487196    .1156921
  survey2005 |   .4694171   .1142351     4.11   0.000     .2372635    .7015707
  survey2007 |  -.4093344   .1565754    -2.61   0.013    -.7275338    -.091135
       meduc |  -.0011249   .0130261    -0.09   0.932    -.0275972    .0253474
       feduc |  -.0072144   .0103788    -0.70   0.492    -.0283067    .0138779
       _cons |  -.4333936    .722312    -0.60   0.552    -1.901308    1.034521
------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s12_23_int~d |     664  1022.67002    .2616387   .4398582          0          1
s12_23_interested was byte now float
(1864 real changes made)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s12_26vote~t |     446  768.400017    .4828865   .5002682          0          1
s12_26vote2007_restrict was byte now float
(1243 real changes made)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
sk_group_i~x |     664  1022.67002      1.4058   1.388374          0          6
sk_group_index was byte now float
(11730 real changes made)
(10343 missing values generated)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
  depvar_int |     664  1022.67002    .0123683   .6629258  -.8575439   2.133709
(1387 real changes made)
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  7,    67) =   12.98
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.0719
                                                       Root MSE      =  .95419

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
  depvar_int |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0380813   .0726329    -0.52   0.602    -.1830571    .1068946
          c1 |    .063351   .0798468     0.79   0.430    -.0960238    .2227258
  age_survey |   .0029526   .0262081     0.11   0.911    -.0493591    .0552642
  survey2005 |   .6037059   .0864665     6.98   0.000     .4311181    .7762936
  survey2007 |   -.377361   .1538142    -2.45   0.017    -.6843753   -.0703466
       meduc |  -.0148786   .0112619    -1.32   0.191    -.0373574    .0076003
       feduc |   .0269895   .0102445     2.63   0.010     .0065414    .0474376
       _cons |  -.2540491   .5043038    -0.50   0.616    -1.260644    .7525454
------------------------------------------------------------------------------
(sum of wgt is   1.9794e+03)

Instrumental variables (2SLS) regression               Number of obs =    1387
                                                       Wald chi2(7)  =   92.52
                                                       Prob > chi2   =  0.0000
                                                       R-squared     =  0.0414
                                                       Root MSE      =  .96692

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
  depvar_int |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
all_tests_nm |   -.183249    .362771    -0.51   0.613     -.894267    .5277691
          c1 |   .1613302   .2091247     0.77   0.440    -.2485467     .571207
  age_survey |  -.0455623   .0971746    -0.47   0.639     -.236021    .1448964
  survey2005 |    .541108   .1720556     3.14   0.002     .2038852    .8783308
  survey2007 |  -.3588967   .1606487    -2.23   0.025    -.6737622   -.0440311
       meduc |  -.0130282   .0128097    -1.02   0.309    -.0381347    .0120783
       feduc |   .0333555   .0142328     2.34   0.019     .0054598    .0612513
       _cons |   .5261211   1.632369     0.32   0.747    -2.673264    3.725506
------------------------------------------------------------------------------
Instrumented:  all_tests_nm
Instruments:   c1 age_survey survey2005 survey2007 meduc feduc treatment
(sum of wgt is   1.0227e+03)

Linear regression                                      Number of obs =     664
                                                       F(  7,    34) =   11.70
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.1009
                                                       Root MSE      =  .95326

                       (Std. Err. adjusted for 35 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
  depvar_int |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
all_tests_nm |   .0169887   .0678848     0.25   0.804    -.1209698    .1549472
          c1 |   .1530983   .1076352     1.42   0.164    -.0656427    .3718393
  age_survey |  -.0139503   .0426991    -0.33   0.746    -.1007253    .0728246
  survey2005 |   .7011833    .129476     5.42   0.000     .4380564    .9643103
  survey2007 |  -.3579118   .2257278    -1.59   0.122    -.8166458    .1008223
       meduc |  -.0134021   .0179065    -0.75   0.459    -.0497925    .0229884
       feduc |   .0367048   .0164614     2.23   0.032     .0032512    .0701583
       _cons |  -.0974254   .8413919    -0.12   0.908    -1.807339    1.612489
------------------------------------------------------------------------------

. 
. qui reg all_tests_nm treatment `controls' if insample==1 [aw=weight], cluster(school_base
> line)

. qui predict resid, resid

. 
. *****hausman on mean effects for rows 1, 6, 8, 2, 9, 10\
. *NOTE: THE TEST IS THE SIGNIFICANCE OF THE COEF ON resid (look at second line row 'resid'
> ; column 'P>|t|')
. foreach cat in wom dem polknowledge sat effic int{
  2.         reg depvar_`cat' all_tests_nm resid `controls' if insample==1 [aw=weight], clu
> ster(school_baseline)
  3. }
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  8,    67) =    7.07
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.0864
                                                       Root MSE      =  .93795

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
  depvar_wom |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
all_tests_nm |  -.8720199   .3728361    -2.34   0.022    -1.616204    -.127836
       resid |   .6225919   .3817805     1.63   0.108    -.1394453    1.384629
          c1 |    .266256   .2345784     1.14   0.260    -.2019644    .7344764
  age_survey |  -.1289093   .1098929    -1.17   0.245    -.3482565     .090438
  survey2005 |  -.1790022   .1569886    -1.14   0.258    -.4923527    .1343484
  survey2007 |  -.1516585   .1585922    -0.96   0.342    -.4682098    .1648928
       meduc |   .0103704    .009902     1.05   0.299    -.0093941    .0301349
       feduc |   .0188761   .0161596     1.17   0.247    -.0133785    .0511307
       _cons |   2.042949   1.840694     1.11   0.271    -1.631091    5.716988
------------------------------------------------------------------------------
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  8,    67) =   12.46
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.1149
                                                       Root MSE      =  .96038

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
  depvar_dem |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
all_tests_nm |   .1089051   .3785788     0.29   0.774    -.6467414    .8645516
       resid |   .2529886   .3871495     0.65   0.516    -.5197651    1.025742
          c1 |   .1167078   .1969384     0.59   0.555    -.2763829    .5097985
  age_survey |  -.0492367   .1070889    -0.46   0.647    -.2629869    .1645136
  survey2005 |  -.0293322   .1609177    -0.18   0.856    -.3505253    .2918609
  survey2007 |   .1024041   .1628812     0.63   0.532    -.2227081    .4275163
       meduc |  -.0018102   .0121275    -0.15   0.882    -.0260168    .0223964
       feduc |   .0161113   .0159706     1.01   0.317    -.0157662    .0479887
       _cons |     .70597   1.789583     0.39   0.694    -2.866053    4.277993
------------------------------------------------------------------------------
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  8,    67) =   32.20
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.2135
                                                       Root MSE      =  .85928

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
depvar_pol~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
all_tests_nm |   .9754852   .3124371     3.12   0.003     .3518581    1.599112
       resid |  -.5582369   .3107797    -1.80   0.077    -1.178556    .0620819
          c1 |  -.3012793   .1694317    -1.78   0.080    -.6394664    .0369078
  age_survey |   .1387691   .0830188     1.67   0.099    -.0269371    .3044753
  survey2005 |   .5600143   .1220087     4.59   0.000     .3164839    .8035447
  survey2007 |   .0995298    .102484     0.97   0.335    -.1050292    .3040887
       meduc |  -.0132312   .0099077    -1.34   0.186     -.033007    .0065446
       feduc |  -.0087021   .0157551    -0.55   0.583    -.0401493    .0227452
       _cons |  -2.321396   1.372685    -1.69   0.095    -5.061288     .418495
------------------------------------------------------------------------------
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  8,    67) =    6.51
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.0455
                                                       Root MSE      =   1.024

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
  depvar_sat |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
all_tests_nm |  -1.148982   .2811935    -4.09   0.000    -1.710247   -.5877175
       resid |   .9825014   .2919051     3.37   0.001     .3998563    1.565146
          c1 |   .4787083   .1612761     2.97   0.004     .1567999    .8006168
  age_survey |  -.2706905   .0805767    -3.36   0.001    -.4315223   -.1098588
  survey2005 |  -.3740392   .1218307    -3.07   0.003    -.6172143   -.1308641
  survey2007 |  -.0984144   .1847812    -0.53   0.596    -.4672392    .2704104
       meduc |    .015066   .0110603     1.36   0.178    -.0070105    .0371425
       feduc |   .0186667   .0141731     1.32   0.192    -.0096229    .0469564
       _cons |   4.534058   1.361574     3.33   0.001     1.816345    7.251771
------------------------------------------------------------------------------
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  8,    67) =   11.64
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.0572
                                                       Root MSE      =  .96387

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
depvar_effic |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
all_tests_nm |   .2648644   .3143451     0.84   0.402    -.3625711    .8922999
       resid |  -.3244277   .3189763    -1.02   0.313    -.9611071    .3122517
          c1 |  -.3168357   .1702314    -1.86   0.067     -.656619    .0229477
  age_survey |   .1114704   .0808776     1.38   0.173    -.0499619    .2729027
  survey2005 |   .5929145   .1310069     4.53   0.000     .3314236    .8544054
  survey2007 |  -.4284615   .1153328    -3.72   0.000    -.6586667   -.1982564
       meduc |  -.0043271   .0092545    -0.47   0.642    -.0227991    .0141449
       feduc |  -.0214062   .0153397    -1.40   0.167    -.0520243    .0092119
       _cons |  -1.694564   1.341838    -1.26   0.211    -4.372883    .9837553
------------------------------------------------------------------------------
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  8,    67) =   11.32
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.0722
                                                       Root MSE      =  .95437

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
  depvar_int |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
all_tests_nm |   -.183249   .3488476    -0.53   0.601    -.8795517    .5130537
       resid |   .2042444   .3441265     0.59   0.555     -.482635    .8911237
          c1 |   .1613302   .2072232     0.78   0.439    -.2522891    .5749495
  age_survey |  -.0455623   .0938655    -0.49   0.629    -.2329187     .141794
  survey2005 |    .541108   .1616988     3.35   0.001     .2183558    .8638602
  survey2007 |  -.3588967   .1588953    -2.26   0.027    -.6760531   -.0417402
       meduc |  -.0130282   .0125547    -1.04   0.303    -.0380874     .012031
       feduc |   .0333555    .014743     2.26   0.027     .0039285    .0627826
       _cons |   .5261213   1.571204     0.33   0.739    -2.610015    3.662257
------------------------------------------------------------------------------

. 
. ***************************
. *****OLS for rows 3, 4, 5, 7 
. foreach var in s13_12_tribe_import_r s13_13_relig_import_r s12_17newspaper supportforviol
> ence1 supportforviolence2{
  2.         xi: reg `var' treatment `controls' if insample==1 [aweight=weight], robust clu
> ster(school_baseline)
  3.         xi: ivregress 2sls `var' `controls' (all_tests_nm = treatment) if insample==1 
> [aw=weight], cluster(school_baseline)
  4.         xi: reg `var' all_tests_nm `controls' if insample==1&treatment==0 [aweight=wei
> ght], robust cluster(school_baseline)
  5. }
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  7,    67) =    1.61
                                                       Prob > F      =  0.1476
                                                       R-squared     =  0.0138
                                                       Root MSE      =  .29223

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
s13_12_tri~r |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0328101   .0199484    -1.64   0.105    -.0726273    .0070072
          c1 |  -.0220926   .0237426    -0.93   0.355     -.069483    .0252977
  age_survey |   .0015151   .0079868     0.19   0.850    -.0144266    .0174568
  survey2005 |   .0174604   .0254331     0.69   0.495    -.0333043     .068225
  survey2007 |  -.0859366   .0368904    -2.33   0.023    -.1595701   -.0123031
       meduc |  -.0012883   .0028081    -0.46   0.648    -.0068932    .0043166
       feduc |  -.0022958   .0029112    -0.79   0.433    -.0081066     .003515
       _cons |   .1303659   .1402536     0.93   0.356    -.1495815    .4103132
------------------------------------------------------------------------------
(sum of wgt is   1.9794e+03)

Instrumental variables (2SLS) regression               Number of obs =    1387
                                                       Wald chi2(7)  =    7.92
                                                       Prob > chi2   =  0.3393
                                                       R-squared     =       .
                                                       Root MSE      =  .31965

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
s13_12_tri~r |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
all_tests_nm |  -.1578837   .1054402    -1.50   0.134    -.3645426    .0487752
          c1 |   .0623242   .0576154     1.08   0.279    -.0505998    .1752483
  age_survey |  -.0402844   .0262464    -1.53   0.125    -.0917264    .0111577
  survey2005 |  -.0364727   .0452752    -0.81   0.420    -.1252105    .0522652
  survey2007 |  -.0700281   .0370069    -1.89   0.058    -.1425602    .0025041
       meduc |    .000306   .0031609     0.10   0.923    -.0058893    .0065012
       feduc |   .0031891   .0050153     0.64   0.525    -.0066407    .0130188
       _cons |   .8025451   .4330855     1.85   0.064    -.0462869    1.651377
------------------------------------------------------------------------------
Instrumented:  all_tests_nm
Instruments:   c1 age_survey survey2005 survey2007 meduc feduc treatment
(sum of wgt is   1.0227e+03)

Linear regression                                      Number of obs =     664
                                                       F(  7,    34) =   14.15
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.0249
                                                       Root MSE      =  .31055

                       (Std. Err. adjusted for 35 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
s13_12_tri~r |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
all_tests_nm |   .0014833   .0133808     0.11   0.912    -.0257097    .0286763
          c1 |  -.0312862   .0357156    -0.88   0.387    -.1038691    .0412967
  age_survey |    .005029   .0115295     0.44   0.665    -.0184017    .0284597
  survey2005 |  -.0235381   .0322634    -0.73   0.471    -.0891052     .042029
  survey2007 |  -.1411833   .0298228    -4.73   0.000    -.2017906    -.080576
       meduc |  -.0053071   .0042766    -1.24   0.223    -.0139981    .0033839
       feduc |   .0010519   .0053035     0.20   0.844    -.0097261    .0118298
       _cons |   .0786864   .2198917     0.36   0.723    -.3681872    .5255601
------------------------------------------------------------------------------
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  7,    67) =    4.02
                                                       Prob > F      =  0.0010
                                                       R-squared     =  0.0089
                                                       Root MSE      =  .12592

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
s13_13_rel~r |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |    .004756   .0062478     0.76   0.449    -.0077147    .0172268
          c1 |  -.0005352   .0072269    -0.07   0.941    -.0149601    .0138896
  age_survey |  -.0000459   .0018549    -0.02   0.980    -.0037483    .0036564
  survey2005 |   .0220118   .0138961     1.58   0.118    -.0057249    .0497484
  survey2007 |  -.0162065   .0037765    -4.29   0.000    -.0237444   -.0086685
       meduc |   -.001837   .0008056    -2.28   0.026    -.0034451   -.0002289
       feduc |   .0001991   .0008823     0.23   0.822     -.001562    .0019602
       _cons |   .0247096   .0368192     0.67   0.504    -.0487818    .0982011
------------------------------------------------------------------------------
(sum of wgt is   1.9794e+03)

Instrumental variables (2SLS) regression               Number of obs =    1387
                                                       Wald chi2(7)  =   27.84
                                                       Prob > chi2   =  0.0002
                                                       R-squared     =       .
                                                       Root MSE      =  .12734

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
s13_13_rel~r |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
all_tests_nm |   .0228862    .030853     0.74   0.458    -.0375845     .083357
          c1 |   -.012772   .0181783    -0.70   0.482    -.0484009    .0228569
  age_survey |   .0060131   .0094049     0.64   0.523    -.0124201    .0244464
  survey2005 |   .0298297   .0202144     1.48   0.140    -.0097897    .0694491
  survey2007 |  -.0185125   .0056606    -3.27   0.001    -.0296071   -.0074179
       meduc |  -.0020681   .0008411    -2.46   0.014    -.0037166   -.0004196
       feduc |   -.000596   .0013998    -0.43   0.670    -.0033396    .0021476
       _cons |  -.0727269   .1573662    -0.46   0.644     -.381159    .2357052
------------------------------------------------------------------------------
Instrumented:  all_tests_nm
Instruments:   c1 age_survey survey2005 survey2007 meduc feduc treatment
(sum of wgt is   1.0227e+03)

Linear regression                                      Number of obs =     664
                                                       F(  7,    34) =    2.17
                                                       Prob > F      =  0.0619
                                                       R-squared     =  0.0140
                                                       Root MSE      =  .11608

                       (Std. Err. adjusted for 35 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
s13_13_rel~r |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
all_tests_nm |  -.0009497   .0053958    -0.18   0.861    -.0119153    .0100159
          c1 |  -.0009565   .0088059    -0.11   0.914    -.0188523    .0169393
  age_survey |  -.0040143   .0025557    -1.57   0.126    -.0092081    .0011795
  survey2005 |   .0222397   .0131623     1.69   0.100    -.0045093    .0489886
  survey2007 |  -.0090588   .0049152    -1.84   0.074    -.0190478    .0009301
       meduc |  -.0021791    .001157    -1.88   0.068    -.0045303    .0001722
       feduc |   .0004571   .0012924     0.35   0.726    -.0021694    .0030836
       _cons |   .0966562   .0507651     1.90   0.065     -.006511    .1998234
------------------------------------------------------------------------------
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  7,    67) =    5.02
                                                       Prob > F      =  0.0001
                                                       R-squared     =  0.0646
                                                       Root MSE      =  1.1328

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
s12_17news~r |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1339021    .074138     1.81   0.075    -.0140779    .2818822
          c1 |   .1839754   .0751246     2.45   0.017     .0340261    .3339247
  age_survey |  -.1012694   .0298044    -3.40   0.001    -.1607593   -.0417795
  survey2005 |  -.1890603   .0796484    -2.37   0.020    -.3480391   -.0300815
  survey2007 |   .0971092   .1823999     0.53   0.596    -.2669625    .4611808
       meduc |   .0387845   .0114611     3.38   0.001      .015908    .0616611
       feduc |   .0203038   .0094625     2.15   0.036     .0014165    .0391911
       _cons |   1.777341   .5408123     3.29   0.002     .6978751    2.856807
------------------------------------------------------------------------------
(sum of wgt is   1.9794e+03)

Instrumental variables (2SLS) regression               Number of obs =    1387
                                                       Wald chi2(7)  =   41.76
                                                       Prob > chi2   =  0.0000
                                                       R-squared     =  0.0200
                                                       Root MSE      =  1.1561

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
s12_17news~r |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
all_tests_nm |   .6443439   .3641521     1.77   0.077    -.0693811    1.358069
          c1 |  -.1605408   .2192344    -0.73   0.464    -.5902323    .2691507
  age_survey |   .0693196   .0925604     0.75   0.454    -.1120954    .2507347
  survey2005 |   .0310476   .1295626     0.24   0.811    -.2228904    .2849856
  survey2007 |   .0321845   .1788492     0.18   0.857    -.3183534    .3827224
       meduc |   .0322781   .0137406     2.35   0.019     .0053471    .0592092
       feduc |  -.0020805   .0156284    -0.13   0.894    -.0327117    .0285507
       _cons |  -.9659102   1.509545    -0.64   0.522    -3.924564    1.992744
------------------------------------------------------------------------------
Instrumented:  all_tests_nm
Instruments:   c1 age_survey survey2005 survey2007 meduc feduc treatment
(sum of wgt is   1.0227e+03)

Linear regression                                      Number of obs =     664
                                                       F(  7,    34) =    6.60
                                                       Prob > F      =  0.0001
                                                       R-squared     =  0.1241
                                                       Root MSE      =  .95011

                       (Std. Err. adjusted for 35 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
s12_17news~r |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
all_tests_nm |   .2581667   .0546188     4.73   0.000     .1471678    .3691655
          c1 |   .0351544   .1118833     0.31   0.755    -.1922198    .2625287
  age_survey |   .0232755   .0342363     0.68   0.501    -.0463011    .0928521
  survey2005 |  -.0511658   .0647853    -0.79   0.435    -.1828254    .0804939
  survey2007 |  -.0798173   .1828349    -0.44   0.665    -.4513826     .291748
       meduc |   .0430981    .015546     2.77   0.009     .0115048    .0746913
       feduc |   .0138522   .0116828     1.19   0.244    -.0098901    .0375945
       _cons |  -.4034835   .6396386    -0.63   0.532    -1.703385    .8964184
------------------------------------------------------------------------------
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  7,    67) =    3.57
                                                       Prob > F      =  0.0025
                                                       R-squared     =  0.0124
                                                       Root MSE      =  .40457

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
supportfor~1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0402078   .0281632     1.43   0.158    -.0160061    .0964217
          c1 |   -.026655   .0314277    -0.85   0.399     -.089385     .036075
  age_survey |   .0145349    .009068     1.60   0.114    -.0035649    .0326348
  survey2005 |   .0914678   .0275178     3.32   0.001      .036542    .1463936
  survey2007 |  -.0191091   .0605319    -0.32   0.753    -.1399314    .1017131
       meduc |  -.0044044   .0034005    -1.30   0.200    -.0111918    .0023831
       feduc |  -.0008374   .0037775    -0.22   0.825    -.0083774    .0067026
       _cons |   .0274516   .1710578     0.16   0.873    -.3139812    .3688843
------------------------------------------------------------------------------
(sum of wgt is   1.9794e+03)

Instrumental variables (2SLS) regression               Number of obs =    1387
                                                       Wald chi2(7)  =   19.39
                                                       Prob > chi2   =  0.0071
                                                       R-squared     =       .
                                                       Root MSE      =  .44026

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
supportfor~1 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
all_tests_nm |    .193482   .1505067     1.29   0.199    -.1015058    .4884698
          c1 |  -.1301055   .0911079    -1.43   0.153    -.3086737    .0484627
  age_survey |    .065759   .0404997     1.62   0.104     -.013619     .145137
  survey2005 |   .1575613   .0604306     2.61   0.009     .0391194    .2760031
  survey2007 |  -.0386046   .0699903    -0.55   0.581    -.1757831     .098574
       meduc |  -.0063581   .0040283    -1.58   0.114    -.0142534    .0015372
       feduc |  -.0075589   .0064652    -1.17   0.242    -.0202305    .0051127
       _cons |  -.7962851   .6790032    -1.17   0.241    -2.127107    .5345366
------------------------------------------------------------------------------
Instrumented:  all_tests_nm
Instruments:   c1 age_survey survey2005 survey2007 meduc feduc treatment
(sum of wgt is   1.0227e+03)

Linear regression                                      Number of obs =     664
                                                       F(  7,    34) =    5.05
                                                       Prob > F      =  0.0005
                                                       R-squared     =  0.0241
                                                       Root MSE      =  .38906

                       (Std. Err. adjusted for 35 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
supportfor~1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
all_tests_nm |  -.0081164   .0166068    -0.49   0.628    -.0418655    .0256327
          c1 |    .041143    .049386     0.83   0.411    -.0592214    .1415074
  age_survey |   .0087569   .0155012     0.56   0.576    -.0227454    .0402592
  survey2005 |   .1286234   .0417173     3.08   0.004     .0438437     .213403
  survey2007 |  -.0504651   .0732194    -0.69   0.495    -.1992648    .0983347
       meduc |  -.0081084   .0049305    -1.64   0.109    -.0181284    .0019117
       feduc |   .0007178   .0050478     0.14   0.888    -.0095405    .0109761
       _cons |   .1131576   .2909838     0.39   0.700    -.4781926    .7045077
------------------------------------------------------------------------------
(sum of wgt is   1.9764e+03)

Linear regression                                      Number of obs =    1384
                                                       F(  7,    67) =    3.59
                                                       Prob > F      =  0.0024
                                                       R-squared     =  0.0148
                                                       Root MSE      =  .43606

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
supportfor~2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0592797    .028696     2.07   0.043     .0020022    .1165572
          c1 |  -.0412703   .0334004    -1.24   0.221    -.1079378    .0253973
  age_survey |   .0176614   .0094809     1.86   0.067    -.0012626    .0365854
  survey2005 |   .0835889   .0276165     3.03   0.004      .028466    .1387117
  survey2007 |  -.0267608   .0682838    -0.39   0.696    -.1630559    .1095343
       meduc |  -.0029621   .0035779    -0.83   0.411    -.0101036    .0041794
       feduc |  -.0035659   .0040022    -0.89   0.376    -.0115543    .0044226
       _cons |   -.027473   .1815186    -0.15   0.880    -.3897857    .3348397
------------------------------------------------------------------------------
(sum of wgt is   1.9764e+03)

Instrumental variables (2SLS) regression               Number of obs =    1384
                                                       Wald chi2(7)  =   14.51
                                                       Prob > chi2   =  0.0429
                                                       R-squared     =       .
                                                       Root MSE      =  .50585

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
supportfor~2 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
all_tests_nm |   .2852809   .1847909     1.54   0.123    -.0769027    .6474645
          c1 |  -.1937851   .1075847    -1.80   0.072    -.4046472     .017077
  age_survey |   .0931687   .0483606     1.93   0.054    -.0016163    .1879537
  survey2005 |   .1812927   .0755707     2.40   0.016     .0331769    .3294085
  survey2007 |  -.0554596   .0825131    -0.67   0.502    -.2171823    .1062631
       meduc |   -.005864   .0052554    -1.12   0.265    -.0161643    .0044363
       feduc |   -.013466   .0076409    -1.76   0.078     -.028442    .0015099
       _cons |  -1.241662   .8082585    -1.54   0.124    -2.825819    .3424959
------------------------------------------------------------------------------
Instrumented:  all_tests_nm
Instruments:   c1 age_survey survey2005 survey2007 meduc feduc treatment
(sum of wgt is   1.0227e+03)

Linear regression                                      Number of obs =     664
                                                       F(  7,    34) =    3.81
                                                       Prob > F      =  0.0037
                                                       R-squared     =  0.0201
                                                       Root MSE      =  .42044

                       (Std. Err. adjusted for 35 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
supportfor~2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
all_tests_nm |  -.0209845   .0184848    -1.14   0.264    -.0585501    .0165811
          c1 |   .0378053   .0481928     0.78   0.438    -.0601343    .1357449
  age_survey |   .0045836    .015051     0.30   0.763    -.0260036    .0351709
  survey2005 |   .1084343   .0422109     2.57   0.015     .0226513    .1942172
  survey2007 |  -.0536059   .0868511    -0.62   0.541    -.2301086    .1228968
       meduc |  -.0066188    .005234    -1.26   0.215    -.0172557     .004018
       feduc |   -.001955   .0052411    -0.37   0.711    -.0126062    .0086962
       _cons |   .1870924   .2972747     0.63   0.533    -.4170425    .7912273
------------------------------------------------------------------------------

. *****hausman on mean effects for rows 3, 4, 5, 7
. *NOTE: THE TEST IS THE SIGNIFICANCE OF THE COEF ON resid (look at second line row 'resid'
> ; column 'P>|t|')
. foreach var in s13_12_tribe_import_r s13_13_relig_import_r s12_17newspaper supportforviol
> ence1 supportforviolence2{
  2.         reg `var' all_tests_nm resid `controls' if insample==1 [aw=weight], cluster(sc
> hool_baseline)
  3. }
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  8,    67) =    1.41
                                                       Prob > F      =  0.2096
                                                       R-squared     =  0.0139
                                                       Root MSE      =  .29232

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
s13_12_tri~r |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
all_tests_nm |  -.1578837   .0957705    -1.65   0.104    -.3490425    .0332751
       resid |   .1549095   .0958584     1.62   0.111    -.0364246    .3462436
          c1 |   .0623242   .0502206     1.24   0.219    -.0379165    .1625649
  age_survey |  -.0402844   .0239749    -1.68   0.098    -.0881384    .0075696
  survey2005 |  -.0364727   .0458124    -0.80   0.429    -.1279145    .0549692
  survey2007 |  -.0700281   .0328777    -2.13   0.037    -.1356522   -.0044039
       meduc |    .000306    .003043     0.10   0.920    -.0057679    .0063799
       feduc |   .0031891   .0041525     0.77   0.445    -.0050994    .0114775
       _cons |   .8025452   .4052474     1.98   0.052    -.0063321    1.611422
------------------------------------------------------------------------------
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  8,    67) =    3.36
                                                       Prob > F      =  0.0027
                                                       R-squared     =  0.0092
                                                       Root MSE      =  .12595

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
s13_13_rel~r |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
all_tests_nm |   .0228862   .0301493     0.76   0.450     -.037292    .0830644
       resid |  -.0251576   .0317143    -0.79   0.430    -.0884596    .0381443
          c1 |   -.012772    .017371    -0.74   0.465    -.0474446    .0219006
  age_survey |   .0060131   .0090647     0.66   0.509    -.0120801    .0241064
  survey2005 |   .0298297   .0197187     1.51   0.135     -.009529    .0691884
  survey2007 |  -.0185125   .0051804    -3.57   0.001    -.0288527   -.0081723
       meduc |  -.0020681    .000847    -2.44   0.017    -.0037587   -.0003775
       feduc |   -.000596   .0013605    -0.44   0.663    -.0033115    .0021195
       _cons |  -.0727269   .1519257    -0.48   0.634    -.3759719     .230518
------------------------------------------------------------------------------
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  8,    67) =   13.50
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.0994
                                                       Root MSE      =   1.112

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
s12_17news~r |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
all_tests_nm |    .644344   .3335333     1.93   0.058    -.0213912    1.310079
       resid |  -.3876838   .3419429    -1.13   0.261    -1.070205    .2948371
          c1 |  -.1605409   .1917942    -0.84   0.406    -.5433638     .222282
  age_survey |   .0693197   .0807773     0.86   0.394    -.0919124    .2305518
  survey2005 |   .0310477   .1059366     0.29   0.770    -.1804027     .242498
  survey2007 |   .0321845   .1749271     0.18   0.855    -.3169715    .3813405
       meduc |   .0322781   .0125114     2.58   0.012     .0073052     .057251
       feduc |  -.0020805   .0146008    -0.14   0.887    -.0312237    .0270628
       _cons |  -.9659108   1.309116    -0.74   0.463    -3.578916    1.647095
------------------------------------------------------------------------------
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  8,    67) =    3.37
                                                       Prob > F      =  0.0026
                                                       R-squared     =  0.0134
                                                       Root MSE      =  .40452

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
supportfor~1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
all_tests_nm |    .193482   .1364427     1.42   0.161    -.0788587    .4658227
       resid |  -.2083677   .1340577    -1.55   0.125    -.4759479    .0592126
          c1 |  -.1301055   .0853738    -1.52   0.132    -.3005123    .0403013
  age_survey |    .065759    .037436     1.76   0.084    -.0089637    .1404816
  survey2005 |   .1575613   .0550463     2.86   0.006     .0476884    .2674341
  survey2007 |  -.0386046   .0586988    -0.66   0.513    -.1557679    .0785588
       meduc |  -.0063581   .0032339    -1.97   0.053    -.0128129    .0000968
       feduc |  -.0075589    .005877    -1.29   0.203    -.0192895    .0041717
       _cons |  -.7962851   .6319125    -1.26   0.212    -2.057588    .4650176
------------------------------------------------------------------------------
(sum of wgt is   1.9764e+03)

Linear regression                                      Number of obs =    1384
                                                       F(  8,    67) =    3.30
                                                       Prob > F      =  0.0031
                                                       R-squared     =  0.0163
                                                       Root MSE      =  .43589

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
supportfor~2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
all_tests_nm |   .2852553   .1384321     2.06   0.043     .0089437    .5615669
       resid |  -.3050809   .1367023    -2.23   0.029    -.5779397    -.032222
          c1 |  -.1937912    .086119    -2.25   0.028    -.3656854    -.021897
  age_survey |   .0931837    .037588     2.48   0.016     .0181578    .1682096
  survey2005 |   .1810146   .0557127     3.25   0.002     .0698117    .2922175
  survey2007 |  -.0555066   .0664789    -0.83   0.407     -.188199    .0771858
       meduc |  -.0058411   .0034786    -1.68   0.098    -.0127843    .0011022
       feduc |  -.0134762   .0058161    -2.32   0.024    -.0250852   -.0018673
       _cons |  -1.241955   .6363386    -1.95   0.055    -2.512092    .0281825
------------------------------------------------------------------------------

. 
. restore

. 
. 
. **************************************
. ********APPENDIX TABLE A2: 
. **************************************
. 
. 
. *********ALTERNATIVE WAY (TABLE A1alt)********
. 
. preserve

. 
. gen insample2=insample
(10343 missing values generated)

. replace insample2=. if score_2000>2
(506 real changes made, 506 to missing)

. 
. gen insample3=insample
(10343 missing values generated)

. replace insample3=. if score_2000==.
(468 real changes made, 468 to missing)

. 
. *****OLS for rows 1,4,5,6,7,8
. 
. foreach categ in wom dem polknowledge sat effic int{
  2. 
.         local cat="``categ''"
  3.         local cat_name="`categ'"
  4.         foreach var in `cat'{
  5.                 sum `var' if treatment==0&insample==1 [aw=weight]
  6.                 replace `var'=(`var'-r(mean))/r(sd)
  7.         }
  8. 
.         egen depvar_`categ'=rmean(`cat') if insample==1
  9.         sum depvar_`categ' if treatment==0&insample==1 [aw=weight]
 10.         replace depvar_`categ'=(depvar_`categ'-r(mean))/r(sd)
 11. 
.         xi: reg depvar_`categ' treatment `controls' if insample2==1 [aweight=weight], rob
> ust cluster(school_baseline)
 12.         xi: reg depvar_`categ' treatment `controls' if insample3==1 [aweight=weight], 
> robust cluster(school_baseline)
 13.         
. }

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
  s12_45_rev |     664  1022.67002    .1702472   .3138155          0          1
(1864 real changes made)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
  s12_46_rev |     664  1022.67002    .2530207    .375808          0          1
(1864 real changes made)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
family_cho~c |     664  1022.67002    .0422521   .2013155          0          1
(1402 real changes made)
(10343 missing values generated)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
  depvar_wom |     664  1022.67002   -2.23e-09   .5995313  -.4752195   2.067534
(1387 real changes made)
(sum of wgt is   1.2236e+03)

Linear regression                                      Number of obs =     881
                                                       F(  7,    66) =    3.17
                                                       Prob > F      =  0.0059
                                                       R-squared     =  0.0456
                                                       Root MSE      =  .98281

                       (Std. Err. adjusted for 67 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
  depvar_wom |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.1767515   .0914736    -1.93   0.058    -.3593845    .0058815
          c1 |  -.2666768   .0918457    -2.90   0.005    -.4500526    -.083301
  age_survey |   .1224988   .0352542     3.47   0.001     .0521114    .1928861
  survey2005 |   .1235841   .1053968     1.17   0.245    -.0868474    .3340155
  survey2007 |   -.153192   .2253681    -0.68   0.499     -.603154      .29677
       meduc |   .0115108   .0130001     0.89   0.379    -.0144447    .0374663
       feduc |  -.0092045   .0136618    -0.67   0.503    -.0364812    .0180722
       _cons |  -2.068427   .6419025    -3.22   0.002    -3.350027   -.7868277
------------------------------------------------------------------------------
(sum of wgt is   1.2777e+03)

Linear regression                                      Number of obs =     919
                                                       F(  7,    66) =    3.50
                                                       Prob > F      =  0.0030
                                                       R-squared     =  0.0483
                                                       Root MSE      =  .97213

                       (Std. Err. adjusted for 67 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
  depvar_wom |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.2037427   .0883748    -2.31   0.024    -.3801887   -.0272967
          c1 |  -.2521111   .0910667    -2.77   0.007    -.4339317   -.0702905
  age_survey |   .1240678   .0349776     3.55   0.001     .0542327    .1939029
  survey2005 |   .1244893   .1063775     1.17   0.246    -.0879001    .3368788
  survey2007 |   -.140447   .2244192    -0.63   0.534    -.5885145    .3076204
       meduc |    .009471   .0128728     0.74   0.464    -.0162304    .0351724
       feduc |  -.0081675   .0129902    -0.63   0.532    -.0341033    .0177682
       _cons |  -2.103023   .6347699    -3.31   0.002    -3.370382   -.8356642
------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s12_39_rev~e |     664  1022.67002    .9330943   .1902189          0          1
(1863 real changes made)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s12_40_dem~c |     664  1022.67002    .6904476   .4626576          0          1
s12_40_democratic was byte now float
(1862 real changes made)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
  s12_44_rev |     664  1022.67002    .7251378    .380604          0          1
(1864 real changes made)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s12_35sing~y |     664  1022.67002    .3547381   .3992263          0          1
(1863 real changes made)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s12_36deci~g |     664  1022.67002    .2731575   .3571409          0          1
(1864 real changes made)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s12_37army~p |     664  1022.67002    .6145677   .4080589          0          1
(1864 real changes made)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s12_38elec~t |     664  1022.67002    .6352636   .4117736          0          1
(1861 real changes made)
(10343 missing values generated)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
  depvar_dem |     664  1022.67002   -1.74e-09   .4631348  -1.508227   1.032107
(1387 real changes made)
(sum of wgt is   1.2236e+03)

Linear regression                                      Number of obs =     881
                                                       F(  7,    66) =    3.61
                                                       Prob > F      =  0.0024
                                                       R-squared     =  0.0407
                                                       Root MSE      =  .99408

                       (Std. Err. adjusted for 67 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
  depvar_dem |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0770138   .0957821    -0.80   0.424     -.268249    .1142214
          c1 |   .1814418   .1043809     1.74   0.087    -.0269615     .389845
  age_survey |  -.0706978   .0332303    -2.13   0.037    -.1370442   -.0043515
  survey2005 |  -.0076567   .1041213    -0.07   0.942    -.2155415    .2002281
  survey2007 |    .511876   .2205125     2.32   0.023     .0716086    .9521434
       meduc |  -.0018069   .0126741    -0.14   0.887    -.0271115    .0234977
       feduc |   .0216635   .0120968     1.79   0.078    -.0024886    .0458155
       _cons |   1.057203   .6345756     1.67   0.100    -.2097685    2.324174
------------------------------------------------------------------------------
(sum of wgt is   1.2777e+03)

Linear regression                                      Number of obs =     919
                                                       F(  7,    66) =    3.24
                                                       Prob > F      =  0.0051
                                                       R-squared     =  0.0392
                                                       Root MSE      =  .99486

                       (Std. Err. adjusted for 67 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
  depvar_dem |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0370582   .0982487    -0.38   0.707    -.2332181    .1591017
          c1 |   .1667071   .0970221     1.72   0.090    -.0270037    .3604179
  age_survey |  -.0725023   .0353191    -2.05   0.044    -.1430191   -.0019855
  survey2005 |  -.0307191   .1002689    -0.31   0.760    -.2309124    .1694743
  survey2007 |   .4949635   .2198229     2.25   0.028     .0560728    .9338541
       meduc |   .0007922   .0124164     0.06   0.949    -.0239979    .0255824
       feduc |   .0227362   .0117151     1.94   0.057    -.0006537    .0461262
       _cons |   1.074455   .6709977     1.60   0.114    -.2652349    2.414145
------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s12_27pres~t |     664  1022.67002    .9970665    .054123          0          1
s12_27president was byte now float
(1863 real changes made)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
    s12_28vp |     664  1022.67002    .8370931   .3695591          0          1
s12_28vp was byte now float
(1864 real changes made)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
 s12_29edmin |     664  1022.67002    .3303216   .4706834          0          1
s12_29edmin was byte now float
(1863 real changes made)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s12_30heal~n |     664  1022.67002    .5096757   .5002832          0          1
s12_30healthmin was byte now float
(1864 real changes made)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s12_31ugpres |     664  1022.67002    .6233389   .4849141          0          1
s12_31ugpres was byte now float
(1864 real changes made)
(10343 missing values generated)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
depvar_pol~e |     664  1022.67002   -2.29e-09   .5860797  -4.738672   .7349291
(1387 real changes made)
(sum of wgt is   1.2236e+03)

Linear regression                                      Number of obs =     881
                                                       F(  7,    66) =    7.59
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.0644
                                                       Root MSE      =  .91413

                       (Std. Err. adjusted for 67 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
depvar_pol~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1071344    .096831     1.11   0.273    -.0861949    .3004637
          c1 |   .1754974   .0762262     2.30   0.024     .0233069    .3276879
  age_survey |  -.0975409   .0295872    -3.30   0.002    -.1566136   -.0384682
  survey2005 |   .2457516   .0849278     2.89   0.005     .0761879    .4153153
  survey2007 |   .1587125     .17402     0.91   0.365    -.1887297    .5061547
       meduc |   .0032001   .0122825     0.26   0.795    -.0213226    .0277228
       feduc |    .024564   .0106153     2.31   0.024     .0033699    .0457581
       _cons |   1.490458   .5646645     2.64   0.010     .3630687    2.617847
------------------------------------------------------------------------------
(sum of wgt is   1.2777e+03)

Linear regression                                      Number of obs =     919
                                                       F(  7,    66) =    8.02
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.0621
                                                       Root MSE      =  .90648

                       (Std. Err. adjusted for 67 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
depvar_pol~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1091103   .0937303     1.16   0.249    -.0780283    .2962489
          c1 |   .1835852   .0748582     2.45   0.017      .034126    .3330444
  age_survey |  -.0972603   .0296938    -3.28   0.002    -.1565459   -.0379747
  survey2005 |   .2282619   .0810611     2.82   0.006     .0664182    .3901056
  survey2007 |    .137542   .1728284     0.80   0.429     -.207521     .482605
       meduc |   .0050575   .0119671     0.42   0.674    -.0188355    .0289504
       feduc |   .0216739    .010397     2.08   0.041     .0009157    .0424321
       _cons |   1.513247      .5675     2.67   0.010     .3801971    2.646298
------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
      s12_43 |     664  1022.67002    .5307121   .4569581          0          1
(1864 real changes made)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s12_20_gov~e |     664  1022.67002    .5617941   .4965408          0          1
s12_20_gov_improve was byte now float
(1864 real changes made)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s12_19_eco~e |     664  1022.67002    .5010512   .5003758          0          1
s12_19_econ_improve was byte now float
(1864 real changes made)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s12_41_sat~d |     664  1022.67002    .7366045   .2884909          0          1
(1846 real changes made)
(10343 missing values generated)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
  depvar_sat |     664  1022.67002   -6.73e-10   .5827964  -1.461867   .9549147
(1387 real changes made)
(sum of wgt is   1.2236e+03)

Linear regression                                      Number of obs =     881
                                                       F(  7,    66) =    2.28
                                                       Prob > F      =  0.0383
                                                       R-squared     =  0.0249
                                                       Root MSE      =   1.027

                       (Std. Err. adjusted for 67 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
  depvar_sat |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.1471177   .0881841    -1.67   0.100     -.323183    .0289475
          c1 |  -.1914659   .1086206    -1.76   0.083    -.4083339     .025402
  age_survey |   .0390783   .0324768     1.20   0.233    -.0257638    .1039204
  survey2005 |  -.0464457   .1153541    -0.40   0.689    -.2767576    .1838661
  survey2007 |  -.3201439   .2230812    -1.44   0.156    -.7655399     .125252
       meduc |   .0119477   .0118926     1.00   0.319    -.0117967     .035692
       feduc |  -.0171332   .0118046    -1.45   0.151    -.0407018    .0064354
       _cons |   -.510666   .6251811    -0.82   0.417     -1.75888    .7375482
------------------------------------------------------------------------------
(sum of wgt is   1.2777e+03)

Linear regression                                      Number of obs =     919
                                                       F(  7,    66) =    2.57
                                                       Prob > F      =  0.0208
                                                       R-squared     =  0.0267
                                                       Root MSE      =  1.0296

                       (Std. Err. adjusted for 67 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
  depvar_sat |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.1807709   .0886765    -2.04   0.046    -.3578193   -.0037225
          c1 |  -.1892162    .108116    -1.75   0.085    -.4050767    .0266443
  age_survey |   .0435885    .031713     1.37   0.174    -.0197285    .1069055
  survey2005 |  -.0150994   .1135722    -0.13   0.895    -.2418536    .2116548
  survey2007 |  -.2945559   .2239224    -1.32   0.193    -.7416314    .1525195
       meduc |   .0089892   .0117165     0.77   0.446    -.0144035     .032382
       feduc |  -.0186897   .0118363    -1.58   0.119    -.0423216    .0049422
       _cons |  -.5784835   .6134285    -0.94   0.349    -1.803233    .6462661
------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s12_33poli~r |     664  1022.67002    .1603841   .2862194          0          1
(1864 real changes made)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s12_34worl~p |     664  1022.67002    .3042404   .3721277          0          1
(1863 real changes made)
(10343 missing values generated)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
depvar_effic |     664  1022.67002    2.83e-09    .773344  -.6889617   2.401575
(1387 real changes made)
(sum of wgt is   1.2236e+03)

Linear regression                                      Number of obs =     881
                                                       F(  7,    66) =   11.87
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.0625
                                                       Root MSE      =  .94935

                       (Std. Err. adjusted for 67 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
depvar_effic |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0858317   .0813177     1.06   0.295    -.0765244    .2481879
          c1 |  -.2334329   .0716002    -3.26   0.002    -.3763874   -.0904784
  age_survey |    .032883   .0301136     1.09   0.279    -.0272408    .0930068
  survey2005 |   .4813462   .0878068     5.48   0.000     .3060342    .6566582
  survey2007 |  -.3893516   .1511057    -2.58   0.012    -.6910439   -.0876593
       meduc |   .0057375   .0107192     0.54   0.594    -.0156642    .0271391
       feduc |  -.0177075   .0126885    -1.40   0.168    -.0430408    .0076258
       _cons |  -.4260484   .5777354    -0.74   0.463    -1.579534    .7274376
------------------------------------------------------------------------------
(sum of wgt is   1.2777e+03)

Linear regression                                      Number of obs =     919
                                                       F(  7,    66) =   11.49
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.0614
                                                       Root MSE      =  .94117

                       (Std. Err. adjusted for 67 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
depvar_effic |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0827058   .0770442     1.07   0.287    -.0711179    .2365294
          c1 |  -.2291825   .0691406    -3.31   0.001    -.3672262   -.0911388
  age_survey |    .034488   .0283823     1.22   0.229    -.0221791    .0911552
  survey2005 |   .4905914   .0855602     5.73   0.000     .3197649    .6614178
  survey2007 |  -.3834883   .1519363    -2.52   0.014     -.686839   -.0801377
       meduc |   .0060942   .0107073     0.57   0.571    -.0152836     .027472
       feduc |  -.0161808   .0125025    -1.29   0.200     -.041143    .0087813
       _cons |  -.4779926   .5445441    -0.88   0.383     -1.56521    .6092248
------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s12_23_int~d |     664  1022.67002    .2616387   .4398582          0          1
s12_23_interested was byte now float
(1864 real changes made)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s12_26vote~t |     446  768.400017    .4828865   .5002682          0          1
s12_26vote2007_restrict was byte now float
(1243 real changes made)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
sk_group_i~x |     664  1022.67002      1.4058   1.388374          0          6
sk_group_index was byte now float
(11730 real changes made)
(10343 missing values generated)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
  depvar_int |     664  1022.67002    .0123683   .6629258  -.8575439   2.133709
(1387 real changes made)
(sum of wgt is   1.2236e+03)

Linear regression                                      Number of obs =     881
                                                       F(  7,    66) =    9.31
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.0805
                                                       Root MSE      =  .96125

                       (Std. Err. adjusted for 67 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
  depvar_int |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.1379813   .0982554    -1.40   0.165    -.3341546     .058192
          c1 |  -.0433929   .0985915    -0.44   0.661    -.2402371    .1534512
  age_survey |   .0275912   .0356284     0.77   0.441    -.0435433    .0987257
  survey2005 |   .5906454   .1047969     5.64   0.000     .3814116    .7998792
  survey2007 |  -.4532272   .2191111    -2.07   0.043    -.8906966   -.0157577
       meduc |  -.0082919   .0126578    -0.66   0.515    -.0335641    .0169803
       feduc |   .0314519   .0130677     2.41   0.019     .0053614    .0575425
       _cons |  -.6635528   .6787489    -0.98   0.332    -2.018719    .6916132
------------------------------------------------------------------------------
(sum of wgt is   1.2777e+03)

Linear regression                                      Number of obs =     919
                                                       F(  7,    66) =    9.69
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.0803
                                                       Root MSE      =   .9583

                       (Std. Err. adjusted for 67 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
  depvar_int |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.1438722   .0959709    -1.50   0.139    -.3354843    .0477398
          c1 |  -.0225763   .0953533    -0.24   0.814    -.2129553    .1678028
  age_survey |   .0283595   .0352144     0.81   0.424    -.0419482    .0986673
  survey2005 |   .6020701   .1048414     5.74   0.000     .3927474    .8113928
  survey2007 |  -.4464544   .2180675    -2.05   0.045    -.8818401   -.0110687
       meduc |  -.0092374   .0125645    -0.74   0.465    -.0343233    .0158485
       feduc |   .0313303   .0125432     2.50   0.015      .006287    .0563737
       _cons |  -.6865854   .6658981    -1.03   0.306    -2.016094    .6429231
------------------------------------------------------------------------------

. 
. 
. *****OLS for rows 2,3
. foreach var in s13_12_tribe_import_r s13_13_relig_import_r s12_17newspaper supportforviol
> ence1 supportforviolence2{
  2. 
. 
.         xi: reg `var' treatment `controls' if insample2==1 [aweight=weight], robust clust
> er(school_baseline)
  3.         xi: reg `var' treatment `controls' if insample3==1 [aweight=weight], robust cl
> uster(school_baseline)
  4.         
. }
(sum of wgt is   1.2236e+03)

Linear regression                                      Number of obs =     881
                                                       F(  7,    66) =    0.56
                                                       Prob > F      =  0.7858
                                                       R-squared     =  0.0100
                                                       Root MSE      =  .29747

                       (Std. Err. adjusted for 67 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
s13_12_tri~r |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0243944   .0249754    -0.98   0.332    -.0742593    .0254705
          c1 |  -.0261661   .0265731    -0.98   0.328     -.079221    .0268888
  age_survey |   .0012316   .0108365     0.11   0.910    -.0204042    .0228673
  survey2005 |   .0140322   .0286858     0.49   0.626    -.0432409    .0713052
  survey2007 |  -.0625696   .0552603    -1.13   0.262    -.1729004    .0477611
       meduc |   .0013738   .0034342     0.40   0.690    -.0054828    .0082304
       feduc |  -.0040919   .0037107    -1.10   0.274    -.0115006    .0033169
       _cons |   .1314736   .1928051     0.68   0.498    -.2534742    .5164214
------------------------------------------------------------------------------
(sum of wgt is   1.2777e+03)

Linear regression                                      Number of obs =     919
                                                       F(  7,    66) =    0.60
                                                       Prob > F      =  0.7575
                                                       R-squared     =  0.0088
                                                       Root MSE      =   .2962

                       (Std. Err. adjusted for 67 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
s13_12_tri~r |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0236888   .0242324    -0.98   0.332    -.0720703    .0246926
          c1 |  -.0193133   .0259244    -0.74   0.459     -.071073    .0324463
  age_survey |  -.0010755   .0107162    -0.10   0.920     -.022471      .02032
  survey2005 |    .009877   .0283032     0.35   0.728    -.0466321    .0663861
  survey2007 |  -.0598777   .0549435    -1.09   0.280    -.1695759    .0498204
       meduc |   .0016587   .0033666     0.49   0.624     -.005063    .0083804
       feduc |  -.0042189   .0035958    -1.17   0.245    -.0113982    .0029605
       _cons |   .1683288   .1916615     0.88   0.383    -.2143358    .5509933
------------------------------------------------------------------------------
(sum of wgt is   1.2236e+03)

Linear regression                                      Number of obs =     881
                                                       F(  7,    66) =    2.34
                                                       Prob > F      =  0.0341
                                                       R-squared     =  0.0145
                                                       Root MSE      =  .11329

                       (Std. Err. adjusted for 67 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
s13_13_rel~r |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0048618   .0072266    -0.67   0.503    -.0192902    .0095667
          c1 |  -.0037305   .0077255    -0.48   0.631     -.019155     .011694
  age_survey |  -.0004414   .0022013    -0.20   0.842    -.0048364    .0039535
  survey2005 |   .0287257   .0165034     1.74   0.086    -.0042244    .0616757
  survey2007 |  -.0110718   .0043885    -2.52   0.014    -.0198336   -.0023099
       meduc |  -.0016947   .0008668    -1.96   0.055    -.0034252    .0000359
       feduc |   4.85e-06   .0009132     0.01   0.996    -.0018184    .0018281
       _cons |    .033853   .0444999     0.76   0.450    -.0549938    .1226999
------------------------------------------------------------------------------
(sum of wgt is   1.2777e+03)

Linear regression                                      Number of obs =     919
                                                       F(  7,    66) =    2.30
                                                       Prob > F      =  0.0367
                                                       R-squared     =  0.0139
                                                       Root MSE      =  .11428

                       (Std. Err. adjusted for 67 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
s13_13_rel~r |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0065401   .0070971    -0.92   0.360      -.02071    .0076297
          c1 |  -.0008482   .0080305    -0.11   0.916    -.0168816    .0151853
  age_survey |  -.0016226   .0025042    -0.65   0.519    -.0066224    .0033771
  survey2005 |    .025743   .0163831     1.57   0.121    -.0069669     .058453
  survey2007 |  -.0111861   .0045226    -2.47   0.016    -.0202157   -.0021565
       meduc |  -.0017333   .0008486    -2.04   0.045    -.0034277    -.000039
       feduc |  -.0001557   .0008995    -0.17   0.863    -.0019516    .0016402
       _cons |   .0573233    .050264     1.14   0.258    -.0430319    .1576786
------------------------------------------------------------------------------
(sum of wgt is   1.2236e+03)

Linear regression                                      Number of obs =     881
                                                       F(  7,    66) =    3.26
                                                       Prob > F      =  0.0049
                                                       R-squared     =  0.0570
                                                       Root MSE      =  1.1955

                       (Std. Err. adjusted for 67 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
s12_17news~r |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1160101   .1047072     1.11   0.272    -.0930445    .3250647
          c1 |   .1531763   .0925689     1.65   0.103    -.0316434    .3379961
  age_survey |  -.0696296   .0465158    -1.50   0.139    -.1625014    .0232422
  survey2005 |   -.166145   .1093027    -1.52   0.133    -.3843748    .0520848
  survey2007 |  -.0177867    .257588    -0.07   0.945    -.5320779    .4965044
       meduc |   .0400523   .0123698     3.24   0.002     .0153551    .0647494
       feduc |   .0251286   .0131846     1.91   0.061    -.0011952    .0514525
       _cons |   1.207246   .8281481     1.46   0.150    -.4462051    2.860697
------------------------------------------------------------------------------
(sum of wgt is   1.2777e+03)

Linear regression                                      Number of obs =     919
                                                       F(  7,    66) =    3.64
                                                       Prob > F      =  0.0022
                                                       R-squared     =  0.0573
                                                       Root MSE      =  1.1811

                       (Std. Err. adjusted for 67 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
s12_17news~r |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1085212   .0969486     1.12   0.267    -.0850429    .3020853
          c1 |   .1501372   .0913336     1.64   0.105    -.0322162    .3324905
  age_survey |  -.0744996   .0444663    -1.68   0.099    -.1632795    .0142802
  survey2005 |  -.1627776   .1018677    -1.60   0.115    -.3661631    .0406078
  survey2007 |  -.0093422   .2587489    -0.04   0.971     -.525951    .5072665
       meduc |   .0378354   .0120482     3.14   0.003     .0137803    .0618904
       feduc |   .0256654   .0125136     2.05   0.044     .0006812    .0506496
       _cons |   1.305962   .7866485     1.66   0.102    -.2646324    2.876556
------------------------------------------------------------------------------
(sum of wgt is   1.2236e+03)

Linear regression                                      Number of obs =     881
                                                       F(  7,    66) =    2.98
                                                       Prob > F      =  0.0089
                                                       R-squared     =  0.0224
                                                       Root MSE      =  .40072

                       (Std. Err. adjusted for 67 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
supportfor~1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0201177   .0355681     0.57   0.574    -.0508963    .0911318
          c1 |  -.0254606   .0397352    -0.64   0.524    -.1047944    .0538732
  age_survey |   .0188862   .0105742     1.79   0.079    -.0022258    .0399982
  survey2005 |    .138387   .0356466     3.88   0.000     .0672164    .2095577
  survey2007 |   .0753298   .0955226     0.79   0.433    -.1153873    .2660469
       meduc |  -.0038546   .0038715    -1.00   0.323    -.0115843    .0038751
       feduc |  -.0016045   .0044836    -0.36   0.722    -.0105564    .0073473
       _cons |  -.0623224   .2010572    -0.31   0.758    -.4637461    .3391014
------------------------------------------------------------------------------
(sum of wgt is   1.2777e+03)

Linear regression                                      Number of obs =     919
                                                       F(  7,    66) =    2.45
                                                       Prob > F      =  0.0267
                                                       R-squared     =  0.0190
                                                       Root MSE      =  .40214

                       (Std. Err. adjusted for 67 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
supportfor~1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0200332   .0343862     0.58   0.562     -.048621    .0886874
          c1 |  -.0302621   .0375158    -0.81   0.423    -.1051648    .0446407
  age_survey |   .0178199   .0105427     1.69   0.096    -.0032292     .038869
  survey2005 |   .1260076   .0340511     3.70   0.000     .0580224    .1939928
  survey2007 |   .0723361   .0950059     0.76   0.449    -.1173493    .2620216
       meduc |  -.0039976   .0038183    -1.05   0.299     -.011621    .0036259
       feduc |  -.0006431   .0046419    -0.14   0.890     -.009911    .0086248
       _cons |  -.0432922   .1966545    -0.22   0.826    -.4359256    .3493413
------------------------------------------------------------------------------
(sum of wgt is   1.2226e+03)

Linear regression                                      Number of obs =     880
                                                       F(  7,    66) =    2.72
                                                       Prob > F      =  0.0154
                                                       R-squared     =  0.0226
                                                       Root MSE      =  .43088

                       (Std. Err. adjusted for 67 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
supportfor~2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0289627   .0367499     0.79   0.433    -.0444108    .1023362
          c1 |  -.0460927   .0426182    -1.08   0.283    -.1311826    .0389972
  age_survey |   .0216893   .0112534     1.93   0.058    -.0007787    .0441574
  survey2005 |   .1267815   .0365439     3.47   0.001     .0538193    .1997438
  survey2007 |   .1003286   .0977196     1.03   0.308    -.0947749    .2954321
       meduc |   -.001511   .0043466    -0.35   0.729    -.0101892    .0071672
       feduc |   -.004111   .0050935    -0.81   0.423    -.0142806    .0060585
       _cons |  -.1135298   .2168057    -0.52   0.602    -.5463963    .3193367
------------------------------------------------------------------------------
(sum of wgt is   1.2767e+03)

Linear regression                                      Number of obs =     918
                                                       F(  7,    66) =    2.27
                                                       Prob > F      =  0.0391
                                                       R-squared     =  0.0204
                                                       Root MSE      =  .43191

                       (Std. Err. adjusted for 67 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
supportfor~2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |    .031527   .0363709     0.87   0.389    -.0410898    .1041438
          c1 |   -.053009   .0404472    -1.31   0.195    -.1337644    .0277465
  age_survey |   .0218205   .0112114     1.95   0.056    -.0005638    .0442048
  survey2005 |   .1153462   .0352892     3.27   0.002      .044889    .1858034
  survey2007 |   .0975802   .0969174     1.01   0.318    -.0959215     .291082
       meduc |  -.0016249   .0042106    -0.39   0.701    -.0100317    .0067819
       feduc |  -.0029678   .0051956    -0.57   0.570    -.0133412    .0074056
       _cons |  -.1193494   .2131871    -0.56   0.577    -.5449912    .3062925
------------------------------------------------------------------------------

. 
. **********************************
. *********ANALYSIS FOR THE TEXT****
. **********************************
. *For the text:
. gen bub1=(s12_46==0)

. gen bub2=(s12_46==1)

.  reg bub1 treatment c1 age_survey survey2005 survey2007 meduc feduc [aw=weight] if insamp
> le==1, robust cluster(school_baseline)
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  7,    67) =    3.74
                                                       Prob > F      =  0.0018
                                                       R-squared     =  0.0208
                                                       Root MSE      =  .34136

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
        bub1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0383168   .0214743    -1.78   0.079    -.0811798    .0045461
          c1 |  -.0531984   .0249773    -2.13   0.037    -.1030533   -.0033435
  age_survey |   .0113151   .0087187     1.30   0.199    -.0060875    .0287176
  survey2005 |   .0166746   .0303635     0.55   0.585    -.0439311    .0772804
  survey2007 |  -.1200406    .033848    -3.55   0.001    -.1876015   -.0524798
       meduc |  -.0043831   .0028679    -1.53   0.131    -.0101075    .0013414
       feduc |  -.0001841   .0023487    -0.08   0.938    -.0048721     .004504
       _cons |   .0157566   .1661522     0.09   0.925    -.3158846    .3473979
------------------------------------------------------------------------------

.  reg bub2 treatment c1 age_survey survey2005 survey2007 meduc feduc [aw=weight] if insamp
> le==1, robust cluster(school_baseline)
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  7,    67) =    3.11
                                                       Prob > F      =  0.0066
                                                       R-squared     =  0.0225
                                                       Root MSE      =  .46329

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
        bub2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1028697   .0323663     3.18   0.002     .0382662    .1674731
          c1 |   .0278424   .0323647     0.86   0.393    -.0367578    .0924426
  age_survey |   -.012461   .0122872    -1.01   0.314    -.0369864    .0120644
  survey2005 |  -.0098342   .0418321    -0.24   0.815    -.0933314    .0736629
  survey2007 |   .1484972   .0614645     2.42   0.018     .0258134    .2711809
       meduc |   .0047511   .0051095     0.93   0.356    -.0054475    .0149497
       feduc |   .0000924   .0041371     0.02   0.982    -.0081653    .0083501
       _cons |   .7947231   .2366438     3.36   0.001     .3223801    1.267066
------------------------------------------------------------------------------

. 
. replace insample2=0 if insample2!=1
(10849 real changes made)

. gen treatment_select=treatment*insample2
(2 missing values generated)

. 
. foreach var in depvar_wom depvar_dem depvar_polknowledge depvar_sat depvar_effic depvar_i
> nt s13_12_tribe_import_r s13_13_relig_import_r s12_17newspaper supportforviolence1 suppor
> tforviolence2{
  2.                 xi: reg `var' treatment treatment_select insample2 `controls' [aweight
> =weight] if insample==1&score_2000!=., cluster(school_baseline)
  3. }
(sum of wgt is   1.2777e+03)

Linear regression                                      Number of obs =     919
                                                       F(  9,    66) =   22.35
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.0557
                                                       Root MSE      =  .96941

                           (Std. Err. adjusted for 67 clusters in school_baseline)
----------------------------------------------------------------------------------
                 |               Robust
      depvar_wom |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
       treatment |  -.5990295   .2489536    -2.41   0.019    -1.096081   -.1019777
treatment_select |   .4220951   .2623475     1.61   0.112    -.1016986    .9458888
       insample2 |   .0933208   .2545226     0.37   0.715      -.41485    .6014916
              c1 |  -.2538827   .0900702    -2.82   0.006    -.4337136   -.0740519
      age_survey |   .1212218   .0343875     3.53   0.001     .0525649    .1898787
      survey2005 |   .1102056   .1057603     1.04   0.301    -.1009517    .3213628
      survey2007 |  -.1538625   .2236369    -0.69   0.494    -.6003679    .2926429
           meduc |   .0104278   .0129725     0.80   0.424    -.0154728    .0363283
           feduc |  -.0075858   .0132354    -0.57   0.568     -.034011    .0188395
           _cons |  -2.149742   .6437484    -3.34   0.001    -3.435027   -.8644566
----------------------------------------------------------------------------------
(sum of wgt is   1.2777e+03)

Linear regression                                      Number of obs =     919
                                                       F(  9,    66) =    6.18
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.0525
                                                       Root MSE      =  .98903

                           (Std. Err. adjusted for 67 clusters in school_baseline)
----------------------------------------------------------------------------------
                 |               Robust
      depvar_dem |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
       treatment |   .6339807   .4247963     1.49   0.140    -.2141525    1.482114
treatment_select |   -.711537   .4301183    -1.65   0.103    -1.570296    .1472219
       insample2 |   .0017391   .3911319     0.00   0.996    -.7791809    .7826592
              c1 |   .1703069   .0948416     1.80   0.077    -.0190505    .3596643
      age_survey |  -.0694259   .0341678    -2.03   0.046    -.1376441   -.0012077
      survey2005 |  -.0124738   .0993145    -0.13   0.900    -.2107616     .185814
      survey2007 |   .5120287   .2215251     2.31   0.024     .0697397    .9543178
           meduc |  -.0003409    .012511    -0.03   0.978    -.0253198    .0246381
           feduc |   .0218133    .012148     1.80   0.077    -.0024409    .0460676
           _cons |   1.026888   .7334406     1.40   0.166    -.4374733     2.49125
----------------------------------------------------------------------------------
(sum of wgt is   1.2777e+03)

Linear regression                                      Number of obs =     919
                                                       F(  9,    66) =    6.87
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.0684
                                                       Root MSE      =  .90442

                           (Std. Err. adjusted for 67 clusters in school_baseline)
----------------------------------------------------------------------------------
                 |               Robust
depvar_polknow~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
       treatment |  -.1522082   .2267784    -0.67   0.504    -.6049858    .3005694
treatment_select |   .2605691   .2559413     1.02   0.312    -.2504342    .7715723
       insample2 |  -.5286317   .1956392    -2.70   0.009    -.9192379   -.1380254
              c1 |   .1802308   .0738456     2.44   0.017     .0327933    .3276682
      age_survey |  -.0926729   .0292018    -3.17   0.002    -.1509763   -.0343695
      survey2005 |   .2409445   .0814068     2.96   0.004     .0784106    .4034784
      survey2007 |   .1497152   .1731183     0.86   0.390    -.1959266    .4953571
           meduc |     .00388   .0119781     0.32   0.747    -.0200351    .0277951
           feduc |   .0218201   .0102673     2.13   0.037     .0013208    .0423194
           _cons |   1.950008   .5997941     3.25   0.002     .7524802    3.147535
----------------------------------------------------------------------------------
(sum of wgt is   1.2777e+03)

Linear regression                                      Number of obs =     919
                                                       F(  9,    66) =    5.62
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.0459
                                                       Root MSE      =  1.0205

                           (Std. Err. adjusted for 67 clusters in school_baseline)
----------------------------------------------------------------------------------
                 |               Robust
      depvar_sat |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
       treatment |  -.5042219   .2847877    -1.77   0.081    -1.072819    .0643751
treatment_select |   .3574438   .3104851     1.15   0.254    -.2624598    .9773474
       insample2 |   .4616595   .2572197     1.79   0.077    -.0518962    .9752153
              c1 |  -.1892409    .105346    -1.80   0.077     -.399571    .0210892
      age_survey |   .0370375    .031944     1.16   0.250    -.0267408    .1008158
      survey2005 |  -.0412283   .1100793    -0.37   0.709    -.2610087    .1785522
      survey2007 |  -.3192673   .2234933    -1.43   0.158    -.7654861    .1269514
           meduc |   .0109534   .0117052     0.94   0.353    -.0124167    .0343235
           feduc |  -.0180581   .0115385    -1.57   0.122    -.0410953    .0049792
           _cons |  -.9219385   .6689191    -1.38   0.173    -2.257479    .4136017
----------------------------------------------------------------------------------
(sum of wgt is   1.2777e+03)

Linear regression                                      Number of obs =     919
                                                       F(  9,    66) =    9.44
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.0618
                                                       Root MSE      =  .94201

                           (Std. Err. adjusted for 67 clusters in school_baseline)
----------------------------------------------------------------------------------
                 |               Robust
    depvar_effic |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
       treatment |    .090133   .2930675     0.31   0.759    -.4949951     .675261
treatment_select |  -.0047231   .3153426    -0.01   0.988    -.6343249    .6248787
       insample2 |   .1007603   .1789798     0.56   0.575    -.2565845    .4581051
              c1 |  -.2287701   .0691892    -3.31   0.002    -.3669109   -.0906293
      age_survey |   .0334181   .0288054     1.16   0.250    -.0240938    .0909301
      survey2005 |   .4870176   .0867028     5.62   0.000     .3139099    .6601252
      survey2007 |  -.3868904   .1505877    -2.57   0.012    -.6875483   -.0862324
           meduc |   .0063906   .0107349     0.60   0.554    -.0150424    .0278235
           feduc |  -.0161504   .0124675    -1.30   0.200    -.0410425    .0087418
           _cons |  -.5583244   .5709752    -0.98   0.332    -1.698313    .5816643
----------------------------------------------------------------------------------
(sum of wgt is   1.2777e+03)

Linear regression                                      Number of obs =     919
                                                       F(  9,    66) =    8.01
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.0817
                                                       Root MSE      =  .95862

                           (Std. Err. adjusted for 67 clusters in school_baseline)
----------------------------------------------------------------------------------
                 |               Robust
      depvar_int |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
       treatment |  -.1551227   .2043587    -0.76   0.451    -.5631381    .2528927
treatment_select |    .017422   .2212852     0.08   0.937     -.424388    .4592321
       insample2 |    .175503   .1602769     1.09   0.277    -.1445002    .4955062
              c1 |  -.0219874   .0956518    -0.23   0.819    -.2129624    .1689876
      age_survey |   .0263845    .035235     0.75   0.457    -.0439645    .0967335
      survey2005 |   .5951853   .1056794     5.63   0.000     .3841895    .8061811
      survey2007 |  -.4529973   .2184777    -2.07   0.042    -.8892021   -.0167926
           meduc |  -.0086802   .0125954    -0.69   0.493    -.0338279    .0164674
           feduc |   .0314167    .012591     2.50   0.015     .0062779    .0565555
           _cons |  -.8248415   .6593523    -1.25   0.215    -2.141281    .4915977
----------------------------------------------------------------------------------
(sum of wgt is   1.2777e+03)

Linear regression                                      Number of obs =     919
                                                       F(  9,    66) =    0.63
                                                       Prob > F      =  0.7654
                                                       R-squared     =  0.0093
                                                       Root MSE      =  .29645

                           (Std. Err. adjusted for 67 clusters in school_baseline)
----------------------------------------------------------------------------------
                 |               Robust
s13_12_tribe_i~r |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
       treatment |   .0256623   .0688342     0.37   0.710    -.1117696    .1630942
treatment_select |  -.0505174   .0726563    -0.70   0.489    -.1955803    .0945456
       insample2 |   .0580418   .0616476     0.94   0.350    -.0650416    .1811253
              c1 |  -.0188344   .0257989    -0.73   0.468    -.0703436    .0326748
      age_survey |  -.0014839   .0107284    -0.14   0.890    -.0229039    .0199361
      survey2005 |   .0090482   .0282419     0.32   0.750    -.0473385    .0654349
      survey2007 |   -.060687   .0545409    -1.11   0.270    -.1695814    .0482073
           meduc |   .0017529   .0033935     0.52   0.607    -.0050223    .0085282
           feduc |  -.0042634   .0036105    -1.18   0.242     -.011472    .0029453
           _cons |    .118952    .200322     0.59   0.555    -.2810037    .5189078
----------------------------------------------------------------------------------
(sum of wgt is   1.2777e+03)

Linear regression                                      Number of obs =     919
                                                       F(  9,    66) =    2.07
                                                       Prob > F      =  0.0446
                                                       R-squared     =  0.0160
                                                       Root MSE      =  .11428

                           (Std. Err. adjusted for 67 clusters in school_baseline)
----------------------------------------------------------------------------------
                 |               Robust
s13_13_relig_i~r |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
       treatment |  -.0562674    .059185    -0.95   0.345    -.1744341    .0618992
treatment_select |   .0513301   .0595846     0.86   0.392    -.0676343    .1702945
       insample2 |  -.0448152   .0593306    -0.76   0.453    -.1632725    .0736422
              c1 |  -.0012802   .0079344    -0.16   0.872    -.0171218    .0145615
      age_survey |  -.0013609   .0023366    -0.58   0.562    -.0060261    .0033043
      survey2005 |   .0260658   .0162876     1.60   0.114    -.0064534     .058585
      survey2007 |  -.0108579   .0044984    -2.41   0.019    -.0198392   -.0018765
           meduc |  -.0017864   .0008543    -2.09   0.040    -.0034921   -.0000806
           feduc |  -.0001054   .0008841    -0.12   0.905    -.0018706    .0016598
           _cons |    .096248   .0849678     1.13   0.261    -.0733956    .2658917
----------------------------------------------------------------------------------
(sum of wgt is   1.2777e+03)

Linear regression                                      Number of obs =     919
                                                       F(  9,    66) =    3.48
                                                       Prob > F      =  0.0014
                                                       R-squared     =  0.0576
                                                       Root MSE      =  1.1822

                           (Std. Err. adjusted for 67 clusters in school_baseline)
----------------------------------------------------------------------------------
                 |               Robust
 s12_17newspaper |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
       treatment |  -.0030272    .224754    -0.01   0.989    -.4517631    .4457087
treatment_select |   .1186527   .2683755     0.44   0.660    -.4171762    .6544816
       insample2 |   .0116031   .1987115     0.06   0.954    -.3851372    .4083434
              c1 |   .1495828   .0910873     1.64   0.105     -.032279    .3314445
      age_survey |  -.0751413   .0450689    -1.67   0.100    -.1651244    .0148417
      survey2005 |  -.1662563   .1049284    -1.58   0.118    -.3757527      .04324
      survey2007 |  -.0126029   .2577434    -0.05   0.961    -.5272042    .5019983
           meduc |   .0380602    .012252     3.11   0.003     .0135983    .0625221
           feduc |   .0258236   .0125604     2.06   0.044      .000746    .0509013
           _cons |   1.304448   .7809409     1.67   0.100    -.2547505    2.863647
----------------------------------------------------------------------------------
(sum of wgt is   1.2777e+03)

Linear regression                                      Number of obs =     919
                                                       F(  9,    66) =    2.67
                                                       Prob > F      =  0.0105
                                                       R-squared     =  0.0207
                                                       Root MSE      =  .40225

                           (Std. Err. adjusted for 67 clusters in school_baseline)
----------------------------------------------------------------------------------
                 |               Robust
supportforviol~1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
       treatment |  -.0369657   .1408599    -0.26   0.794    -.3182016    .2442702
treatment_select |   .0568043   .1502166     0.38   0.707    -.2431128    .3567214
       insample2 |  -.1162985   .0827672    -1.41   0.165    -.2815485    .0489514
              c1 |  -.0309974   .0377257    -0.82   0.414    -.1063192    .0443245
      age_survey |   .0188314   .0103225     1.82   0.073    -.0017781    .0394409
      survey2005 |   .1288111   .0337936     3.81   0.000     .0613401    .1962822
      survey2007 |   .0750268   .0959273     0.78   0.437    -.1164982    .2665517
           meduc |  -.0042574   .0037652    -1.13   0.262    -.0117748    .0032599
           feduc |  -.0006116   .0045994    -0.13   0.895    -.0097946    .0085714
           _cons |   .0527609   .1986906     0.27   0.791    -.3439375    .4494594
----------------------------------------------------------------------------------
(sum of wgt is   1.2767e+03)

Linear regression                                      Number of obs =     918
                                                       F(  9,    66) =    2.40
                                                       Prob > F      =  0.0204
                                                       R-squared     =  0.0212
                                                       Root MSE      =  .43223

                           (Std. Err. adjusted for 67 clusters in school_baseline)
----------------------------------------------------------------------------------
                 |               Robust
supportforviol~2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
       treatment |   .0589143   .1572501     0.37   0.709    -.2550456    .3728743
treatment_select |  -.0302127    .163015    -0.19   0.854    -.3556827    .2952574
       insample2 |   -.037281   .0970757    -0.38   0.702     -.231099    .1565369
              c1 |  -.0530037   .0406609    -1.30   0.197    -.1341858    .0281784
      age_survey |   .0223559   .0110653     2.02   0.047     .0002633    .0444484
      survey2005 |   .1174809   .0351557     3.34   0.001     .0472903    .1876716
      survey2007 |    .099608   .0982081     1.01   0.314    -.0964709    .2956868
           meduc |  -.0017844   .0041685    -0.43   0.670    -.0101071    .0065382
           feduc |  -.0030216   .0051311    -0.59   0.558    -.0132663     .007223
           _cons |  -.0917055   .2224079    -0.41   0.681    -.5357571    .3523461
----------------------------------------------------------------------------------

. 
. 
. restore

. 
. 
. 
. **************************************
. ********APPENDIX TABLE A1: 
. **************************************
. 
. local controls="c1 age_survey survey2005 survey2007 meduc feduc"

. local controls2="c1 survey2005 survey2007"

. 
. preserve

. *****OLS for rows 1,4,5,6,7,8
. foreach categ in wom dem polknowledge sat effic int{
  2. 
.         local cat="``categ''"
  3.         local cat_name="`categ'"
  4.         foreach var in `cat'{
  5.                 sum `var' if treatment==0&insample==1 [aw=weight]
  6.                 replace `var'=(`var'-r(mean))/r(sd)
  7.         }
  8. 
.         egen depvar_`categ'=rmean(`cat') if insample==1
  9.         sum depvar_`categ' if treatment==0&insample==1 [aw=weight]
 10.         replace depvar_`categ'=(depvar_`categ'-r(mean))/r(sd)
 11. 
.         xi: reg depvar_`categ' treatment `controls' if insample==1 [aweight=weight], robu
> st cluster(school_baseline)
 12.         xi: reg depvar_`categ' treatment `controls2' if insample==1 [aweight=weight], 
> robust cluster(school_baseline)
 13.         
. }

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
  s12_45_rev |     664  1022.67002    .1702472   .3138155          0          1
(1864 real changes made)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
  s12_46_rev |     664  1022.67002    .2530207    .375808          0          1
(1864 real changes made)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
family_cho~c |     664  1022.67002    .0422521   .2013155          0          1
(1402 real changes made)
(10343 missing values generated)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
  depvar_wom |     664  1022.67002   -2.23e-09   .5995313  -.4752195   2.067534
(1387 real changes made)
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  7,    67) =    5.00
                                                       Prob > F      =  0.0001
                                                       R-squared     =  0.0396
                                                       Root MSE      =  .96134

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
  depvar_wom |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.1812159   .0770099    -2.35   0.022    -.3349282   -.0275035
          c1 |  -.1999936   .0772157    -2.59   0.012    -.3541168   -.0458704
  age_survey |   .1019566   .0297728     3.42   0.001     .0425299    .1613834
  survey2005 |   .1188798   .0891213     1.33   0.187    -.0590071    .2967667
  survey2007 |   -.239524   .1593954    -1.50   0.138    -.5576786    .0786306
       meduc |    .001565   .0100134     0.16   0.876    -.0184218    .0215518
       feduc |  -.0114176   .0104147    -1.10   0.277    -.0322053    .0093702
       _cons |  -1.669618   .5639157    -2.96   0.004    -2.795198   -.5440376
------------------------------------------------------------------------------
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  4,    67) =    3.25
                                                       Prob > F      =  0.0171
                                                       R-squared     =  0.0141
                                                       Root MSE      =  .97293

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
  depvar_wom |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.1985683   .0767742    -2.59   0.012    -.3518102   -.0453264
          c1 |  -.1112703   .0686162    -1.62   0.110    -.2482289    .0256882
  survey2005 |   .0073747   .0847583     0.09   0.931    -.1618037    .1765531
  survey2007 |  -.1113111   .1542365    -0.72   0.473    -.4191685    .1965463
       _cons |   .0633056   .0671975     0.94   0.350    -.0708212    .1974325
------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s12_39_rev~e |     664  1022.67002    .9330943   .1902189          0          1
(1863 real changes made)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s12_40_dem~c |     664  1022.67002    .6904476   .4626576          0          1
s12_40_democratic was byte now float
(1862 real changes made)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
  s12_44_rev |     664  1022.67002    .7251378    .380604          0          1
(1864 real changes made)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s12_35sing~y |     664  1022.67002    .3547381   .3992263          0          1
(1863 real changes made)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s12_36deci~g |     664  1022.67002    .2731575   .3571409          0          1
(1864 real changes made)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s12_37army~p |     664  1022.67002    .6145677   .4080589          0          1
(1864 real changes made)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s12_38elec~t |     664  1022.67002    .6352636   .4117736          0          1
(1861 real changes made)
(10343 missing values generated)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
  depvar_dem |     664  1022.67002   -1.74e-09   .4631348  -1.508227   1.032107
(1387 real changes made)
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  7,    67) =    2.96
                                                       Prob > F      =  0.0091
                                                       R-squared     =  0.0238
                                                       Root MSE      =  1.0082

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
  depvar_dem |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0226317   .0980898     0.23   0.818    -.1731564    .2184199
          c1 |   .1749369   .0847647     2.06   0.043     .0057459    .3441278
  age_survey |  -.0780691   .0290294    -2.69   0.009     -.136012   -.0201262
  survey2005 |  -.0665342   .0887097    -0.75   0.456    -.2435994     .110531
  survey2007 |   .1133775   .1689858     0.67   0.505    -.2239196    .4506746
       meduc |  -.0007105   .0123231    -0.06   0.954    -.0253076    .0238865
       feduc |   .0198946   .0098221     2.03   0.047     .0002896    .0394996
       _cons |   1.169626   .5733372     2.04   0.045     .0252402    2.314012
------------------------------------------------------------------------------
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  4,    67) =    0.42
                                                       Prob > F      =  0.7935
                                                       R-squared     =  0.0031
                                                       Root MSE      =  1.0177

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
  depvar_dem |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0414712   .0963552     0.43   0.668    -.1508546     .233797
          c1 |   .1066746   .0882427     1.21   0.231    -.0694586    .2828077
  survey2005 |   .0120638   .0774009     0.16   0.877     -.142429    .1665566
  survey2007 |   .0018087   .1789672     0.01   0.992    -.3554113    .3590287
       _cons |  -.0496143   .0973088    -0.51   0.612    -.2438435    .1446148
------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s12_27pres~t |     664  1022.67002    .9970665    .054123          0          1
s12_27president was byte now float
(1863 real changes made)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
    s12_28vp |     664  1022.67002    .8370931   .3695591          0          1
s12_28vp was byte now float
(1864 real changes made)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
 s12_29edmin |     664  1022.67002    .3303216   .4706834          0          1
s12_29edmin was byte now float
(1863 real changes made)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s12_30heal~n |     664  1022.67002    .5096757   .5002832          0          1
s12_30healthmin was byte now float
(1864 real changes made)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s12_31ugpres |     664  1022.67002    .6233389   .4849141          0          1
s12_31ugpres was byte now float
(1864 real changes made)
(10343 missing values generated)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
depvar_pol~e |     664  1022.67002   -2.29e-09   .5860797  -4.738672   .7349291
(1387 real changes made)
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  7,    67) =   12.78
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.0791
                                                       Root MSE      =  .92946

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
depvar_pol~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .2027171   .0853692     2.37   0.020     .0323195    .3731148
          c1 |   .2202908     .05921     3.72   0.000     .1021071    .3384746
  age_survey |  -.1194891    .026191    -4.56   0.000    -.1717665   -.0672116
  survey2005 |   .2267886   .0621768     3.65   0.001     .1026833     .350894
  survey2007 |   .1978206    .124273     1.59   0.116    -.0502294    .4458705
       meduc |   -.003381   .0105977    -0.32   0.751    -.0245341    .0177721
       feduc |   .0251859   .0095159     2.65   0.010     .0061922    .0441797
       _cons |   1.831666   .5086029     3.60   0.001     .8164908    2.846842
------------------------------------------------------------------------------
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  4,    67) =   12.19
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.0333
                                                       Root MSE      =  .95127

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
depvar_pol~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |    .227855   .0843268     2.70   0.009     .0595381     .396172
          c1 |   .1164284   .0601379     1.94   0.057    -.0036074    .2364642
  survey2005 |   .3516572   .0610178     5.76   0.000     .2298651    .4734493
  survey2007 |   .0360867   .1323471     0.27   0.786    -.2280792    .3002527
       _cons |  -.0998865   .0752192    -1.33   0.189    -.2500248    .0502517
------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
      s12_43 |     664  1022.67002    .5307121   .4569581          0          1
(1864 real changes made)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s12_20_gov~e |     664  1022.67002    .5617941   .4965408          0          1
s12_20_gov_improve was byte now float
(1864 real changes made)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s12_19_eco~e |     664  1022.67002    .5010512   .5003758          0          1
s12_19_econ_improve was byte now float
(1864 real changes made)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s12_41_sat~d |     664  1022.67002    .7366045   .2884909          0          1
(1846 real changes made)
(10343 missing values generated)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
  depvar_sat |     664  1022.67002   -6.73e-10   .5827964  -1.461867   .9549147
(1387 real changes made)
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  7,    67) =    4.91
                                                       Prob > F      =  0.0002
                                                       R-squared     =  0.0272
                                                       Root MSE      =  1.0334

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
  depvar_sat |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.2387718   .0613996    -3.89   0.000    -.3613259   -.1162177
          c1 |  -.1356267   .0735466    -1.84   0.070    -.2824263    .0111729
  age_survey |   .0335007   .0251096     1.33   0.187    -.0166183    .0836197
  survey2005 |    .018453   .0795865     0.23   0.817    -.1404022    .1773083
  survey2007 |  -.2141869   .1767902    -1.21   0.230    -.5670616    .1386878
       meduc |   .0034639    .011018     0.31   0.754    -.0185281    .0254558
       feduc |  -.0212485   .0106278    -2.00   0.050    -.0424616   -.0000354
       _cons |  -.3576566   .5010823    -0.71   0.478    -1.357821    .6425078
------------------------------------------------------------------------------
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  4,    67) =    4.87
                                                       Prob > F      =  0.0016
                                                       R-squared     =  0.0182
                                                       Root MSE      =   1.037

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
  depvar_sat |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.2512476   .0637882    -3.94   0.000    -.3785694   -.1239257
          c1 |  -.1067959   .0749236    -1.43   0.159    -.2563439    .0427521
  survey2005 |  -.0100081   .0752487    -0.13   0.895    -.1602051    .1401888
  survey2007 |  -.1559148   .1815183    -0.86   0.393    -.5182268    .2063972
       _cons |   .0691248   .0553824     1.25   0.216    -.0414189    .1796685
------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s12_33poli~r |     664  1022.67002    .1603841   .2862194          0          1
(1864 real changes made)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s12_34worl~p |     664  1022.67002    .3042404   .3721277          0          1
(1863 real changes made)
(10343 missing values generated)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
depvar_effic |     664  1022.67002    2.83e-09    .773344  -.6889617   2.401575
(1387 real changes made)
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  7,    67) =   13.29
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.0546
                                                       Root MSE      =  .96485

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
depvar_effic |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0550419   .0656909     0.84   0.405    -.0760777    .1861614
          c1 |  -.1752186   .0629278    -2.78   0.007    -.3008231   -.0496141
  age_survey |   .0413479   .0231334     1.79   0.078    -.0048266    .0875225
  survey2005 |   .5024369   .0812778     6.18   0.000     .3402057    .6646681
  survey2007 |  -.4017735   .1196706    -3.36   0.001    -.6406371     -.16291
       meduc |  -.0016526   .0089474    -0.18   0.854    -.0195116    .0162064
       feduc |  -.0122049   .0095539    -1.28   0.206    -.0312745    .0068647
       _cons |   -.566921   .4247059    -1.33   0.186    -1.414638    .2807956
------------------------------------------------------------------------------
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  4,    67) =   17.43
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.0470
                                                       Root MSE      =  .96766

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
depvar_effic |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0432133   .0671964     0.64   0.522    -.0909113    .1773378
          c1 |  -.1385771   .0587402    -2.36   0.021    -.2558231   -.0213311
  survey2005 |   .4631207   .0804838     5.75   0.000     .3024743     .623767
  survey2007 |  -.3381145   .1211382    -2.79   0.007    -.5799073   -.0963217
       _cons |   .0488678   .0671895     0.73   0.470     -.085243    .1829786
------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s12_23_int~d |     664  1022.67002    .2616387   .4398582          0          1
s12_23_interested was byte now float
(1864 real changes made)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
s12_26vote~t |     446  768.400017    .4828865   .5002682          0          1
s12_26vote2007_restrict was byte now float
(1243 real changes made)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
sk_group_i~x |     664  1022.67002      1.4058   1.388374          0          6
sk_group_index was byte now float
(11730 real changes made)
(10343 missing values generated)

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
  depvar_int |     664  1022.67002    .0123683   .6629258  -.8575439   2.133709
(1387 real changes made)
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  7,    67) =   12.98
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.0719
                                                       Root MSE      =  .95419

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
  depvar_int |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0380813   .0726329    -0.52   0.602    -.1830571    .1068946
          c1 |    .063351   .0798468     0.79   0.430    -.0960238    .2227258
  age_survey |   .0029526   .0262081     0.11   0.911    -.0493591    .0552642
  survey2005 |   .6037059   .0864665     6.98   0.000     .4311181    .7762936
  survey2007 |   -.377361   .1538142    -2.45   0.017    -.6843753   -.0703466
       meduc |  -.0148786   .0112619    -1.32   0.191    -.0373574    .0076003
       feduc |   .0269895   .0102445     2.63   0.010     .0065414    .0474376
       _cons |  -.2540491   .5043038    -0.50   0.616    -1.260644    .7525454
------------------------------------------------------------------------------
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  4,    67) =   18.95
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.0633
                                                       Root MSE      =  .95752

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
  depvar_int |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0333879   .0732123    -0.46   0.650    -.1795203    .1127445
          c1 |   .0687374   .0789679     0.87   0.387    -.0888832     .226358
  survey2005 |   .5945534   .0843955     7.04   0.000     .4260993    .7630075
  survey2007 |  -.3853245   .1506302    -2.56   0.013    -.6859836   -.0846655
       _cons |  -.0542666   .0740089    -0.73   0.466    -.2019889    .0934557
------------------------------------------------------------------------------

. 
. 
. *****OLS for rows 2,3
. foreach var in s13_12_tribe_import_r s13_13_relig_import_r s12_17newspaper supportforviol
> ence1 supportforviolence2{
  2. 
. 
.         xi: reg `var' treatment `controls' if insample==1 [aweight=weight], robust cluste
> r(school_baseline)
  3.         xi: reg `var' treatment `controls2' if insample==1 [aweight=weight], robust cl
> uster(school_baseline)
  4.         
. }
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  7,    67) =    1.61
                                                       Prob > F      =  0.1476
                                                       R-squared     =  0.0138
                                                       Root MSE      =  .29223

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
s13_12_tri~r |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0328101   .0199484    -1.64   0.105    -.0726273    .0070072
          c1 |  -.0220926   .0237426    -0.93   0.355     -.069483    .0252977
  age_survey |   .0015151   .0079868     0.19   0.850    -.0144266    .0174568
  survey2005 |   .0174604   .0254331     0.69   0.495    -.0333043     .068225
  survey2007 |  -.0859366   .0368904    -2.33   0.023    -.1595701   -.0123031
       meduc |  -.0012883   .0028081    -0.46   0.648    -.0068932    .0043166
       feduc |  -.0022958   .0029112    -0.79   0.433    -.0081066     .003515
       _cons |   .1303659   .1402536     0.93   0.356    -.1495815    .4103132
------------------------------------------------------------------------------
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  4,    67) =    2.38
                                                       Prob > F      =  0.0603
                                                       R-squared     =  0.0118
                                                       Root MSE      =  .29221

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
s13_12_tri~r |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   -.034762   .0200287    -1.74   0.087    -.0747394    .0052154
          c1 |  -.0204387   .0222029    -0.92   0.361    -.0647559    .0238786
  survey2005 |   .0179047   .0250102     0.72   0.477    -.0320158    .0678253
  survey2007 |  -.0798796   .0295352    -2.70   0.009    -.1388321    -.020927
       _cons |   .1269577   .0237634     5.34   0.000     .0795258    .1743896
------------------------------------------------------------------------------
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  7,    67) =    4.02
                                                       Prob > F      =  0.0010
                                                       R-squared     =  0.0089
                                                       Root MSE      =  .12592

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
s13_13_rel~r |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |    .004756   .0062478     0.76   0.449    -.0077147    .0172268
          c1 |  -.0005352   .0072269    -0.07   0.941    -.0149601    .0138896
  age_survey |  -.0000459   .0018549    -0.02   0.980    -.0037483    .0036564
  survey2005 |   .0220118   .0138961     1.58   0.118    -.0057249    .0497484
  survey2007 |  -.0162065   .0037765    -4.29   0.000    -.0237444   -.0086685
       meduc |   -.001837   .0008056    -2.28   0.026    -.0034451   -.0002289
       feduc |   .0001991   .0008823     0.23   0.822     -.001562    .0019602
       _cons |   .0247096   .0368192     0.67   0.504    -.0487818    .0982011
------------------------------------------------------------------------------
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  4,    67) =    7.04
                                                       Prob > F      =  0.0001
                                                       R-squared     =  0.0060
                                                       Root MSE      =  .12596

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
s13_13_rel~r |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0038983   .0061622     0.63   0.529    -.0084015     .016198
          c1 |  -.0001671   .0070792    -0.02   0.981    -.0142973    .0139632
  survey2005 |   .0231678   .0136348     1.70   0.094    -.0040475     .050383
  survey2007 |  -.0140779   .0030827    -4.57   0.000     -.020231   -.0079248
       _cons |   .0127332   .0058785     2.17   0.034     .0009997    .0244667
------------------------------------------------------------------------------
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  7,    67) =    5.02
                                                       Prob > F      =  0.0001
                                                       R-squared     =  0.0646
                                                       Root MSE      =  1.1328

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
s12_17news~r |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1339021    .074138     1.81   0.075    -.0140779    .2818822
          c1 |   .1839754   .0751246     2.45   0.017     .0340261    .3339247
  age_survey |  -.1012694   .0298044    -3.40   0.001    -.1607593   -.0417795
  survey2005 |  -.1890603   .0796484    -2.37   0.020    -.3480391   -.0300815
  survey2007 |   .0971092   .1823999     0.53   0.596    -.2669625    .4611808
       meduc |   .0387845   .0114611     3.38   0.001      .015908    .0616611
       feduc |   .0203038   .0094625     2.15   0.036     .0014165    .0391911
       _cons |   1.777341   .5408123     3.29   0.002     .6978751    2.856807
------------------------------------------------------------------------------
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  4,    67) =    2.15
                                                       Prob > F      =  0.0842
                                                       R-squared     =  0.0085
                                                       Root MSE      =   1.165

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
s12_17news~r |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1764345   .0813273     2.17   0.034     .0141046    .3387643
          c1 |    .086627   .0715731     1.21   0.230    -.0562335    .2294875
  survey2005 |  -.1102556   .0659898    -1.67   0.099    -.2419719    .0214606
  survey2007 |  -.0933922   .1807409    -0.52   0.607    -.4541526    .2673683
       _cons |   .4256103   .0641732     6.63   0.000     .2975201    .5537005
------------------------------------------------------------------------------
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  7,    67) =    3.57
                                                       Prob > F      =  0.0025
                                                       R-squared     =  0.0124
                                                       Root MSE      =  .40457

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
supportfor~1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0402078   .0281632     1.43   0.158    -.0160061    .0964217
          c1 |   -.026655   .0314277    -0.85   0.399     -.089385     .036075
  age_survey |   .0145349    .009068     1.60   0.114    -.0035649    .0326348
  survey2005 |   .0914678   .0275178     3.32   0.001      .036542    .1463936
  survey2007 |  -.0191091   .0605319    -0.32   0.753    -.1399314    .1017131
       meduc |  -.0044044   .0034005    -1.30   0.200    -.0111918    .0023831
       feduc |  -.0008374   .0037775    -0.22   0.825    -.0083774    .0067026
       _cons |   .0274516   .1710578     0.16   0.873    -.3139812    .3688843
------------------------------------------------------------------------------
(sum of wgt is   1.9794e+03)

Linear regression                                      Number of obs =    1387
                                                       F(  4,    67) =    3.10
                                                       Prob > F      =  0.0212
                                                       R-squared     =  0.0066
                                                       Root MSE      =  .40532

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
supportfor~1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0356961   .0281174     1.27   0.209    -.0204264    .0918186
          c1 |  -.0129839   .0293202    -0.44   0.659    -.0715073    .0455395
  survey2005 |   .0781835   .0239941     3.26   0.002      .030291     .126076
  survey2007 |   .0043335    .058969     0.07   0.942    -.1133692    .1220362
       _cons |   .2491032   .0249384     9.99   0.000     .1993259    .2988806
------------------------------------------------------------------------------
(sum of wgt is   1.9764e+03)

Linear regression                                      Number of obs =    1384
                                                       F(  7,    67) =    3.59
                                                       Prob > F      =  0.0024
                                                       R-squared     =  0.0148
                                                       Root MSE      =  .43606

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
supportfor~2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0592797    .028696     2.07   0.043     .0020022    .1165572
          c1 |  -.0412703   .0334004    -1.24   0.221    -.1079378    .0253973
  age_survey |   .0176614   .0094809     1.86   0.067    -.0012626    .0365854
  survey2005 |   .0835889   .0276165     3.03   0.004      .028466    .1387117
  survey2007 |  -.0267608   .0682838    -0.39   0.696    -.1630559    .1095343
       meduc |  -.0029621   .0035779    -0.83   0.411    -.0101036    .0041794
       feduc |  -.0035659   .0040022    -0.89   0.376    -.0115543    .0044226
       _cons |   -.027473   .1815186    -0.15   0.880    -.3897857    .3348397
------------------------------------------------------------------------------
(sum of wgt is   1.9764e+03)

Linear regression                                      Number of obs =    1384
                                                       F(  4,    67) =    2.84
                                                       Prob > F      =  0.0309
                                                       R-squared     =  0.0075
                                                       Root MSE      =  .43718

                       (Std. Err. adjusted for 68 clusters in school_baseline)
------------------------------------------------------------------------------
             |               Robust
supportfor~2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0538555   .0287269     1.87   0.065    -.0034837    .1111947
          c1 |  -.0251198   .0314434    -0.80   0.427    -.0878812    .0376416
  survey2005 |   .0673517   .0240415     2.80   0.007     .0193646    .1153388
  survey2007 |   .0014966   .0676583     0.02   0.982    -.1335499    .1365431
       _cons |   .2349561   .0255974     9.18   0.000     .1838634    .2860489
------------------------------------------------------------------------------

. 
. restore

. 
. 
. *************************
. ***APPENDIX TABLE A3*****
. *************************
. 
. 
. ****************************************************
. ****rerun mean effects with interaction with indicator for 0 predicted winners
. *****************************************************
. 
. foreach p in 10 20 30 40 50 60 70 80 90{
  2.         bysort school_baseline: egen base_score_`p'=pctile(c1_score_2000), p(`p')
  3. }
(191 missing values generated)
(191 missing values generated)
(191 missing values generated)
(191 missing values generated)
(191 missing values generated)
(191 missing values generated)
(191 missing values generated)
(191 missing values generated)
(191 missing values generated)

. 
. bysort school_baseline: egen winners=sum(win)

.  gen a=win if c1==0
(10707 missing values generated)

.  gen b=win if c1==1
(10891 missing values generated)

. bysort school_baseline: egen winners1=sum(a)

. bysort school_baseline: egen winners2=sum(b)

. drop a b

. 
. egen tag_school=tag(school_baseline)

. *one obs per school so as not to over-weight large schools
. 
. tobit winners base_score* if treatment==1&tag==1&teso==0, ll(0)

Tobit regression                                  Number of obs   =         33
                                                  LR chi2(9)      =      42.94
                                                  Prob > chi2     =     0.0000
Log likelihood = -70.410923                       Pseudo R2       =     0.2337

-------------------------------------------------------------------------------
      winners |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
base_score_10 |   28.60624   11.97538     2.39   0.025     3.890272    53.32221
base_score_20 |  -44.17698   17.14957    -2.58   0.017    -79.57195   -8.782018
base_score_30 |     43.565   13.94072     3.13   0.005     14.79278    72.33723
base_score_40 |   2.162252   20.32198     0.11   0.916    -39.78025    44.10475
base_score_50 |   -28.5002   17.13267    -1.66   0.109    -63.86029    6.859888
base_score_60 |   8.540908    9.94478     0.86   0.399    -11.98411    29.06593
base_score_70 |  -24.89979   8.975308    -2.77   0.011    -43.42392   -6.375666
base_score_80 |   26.47032   9.480011     2.79   0.010     6.904541     46.0361
base_score_90 |    4.43337   3.430537     1.29   0.209    -2.646911    11.51365
        _cons |  -1.115023   7.194071    -0.15   0.878    -15.96286    13.73281
--------------+----------------------------------------------------------------
       /sigma |   4.968939   .7497352                      3.421562    6.516316
-------------------------------------------------------------------------------
  Obs. summary:         11  left-censored observations at winners<=0
                        22     uncensored observations
                         0 right-censored observations

. predict winners_predicted
(option xb assumed; fitted values)
(191 missing values generated)

. 
. replace winners_predicted=0 if winners_predicted<0
(5568 real changes made)

. gen winners_predicted_treat=winners_predicted*treatment
(191 missing values generated)

. 
. ******
. 
. 
. 
. 
. foreach categ in wom dem polknowledge sat effic int{
  2. 
. local cat="``categ''"
  3. local cat_name="`categ'"
  4. foreach var in `cat'{
  5.         sum `var' if treatment==0&insample==1
  6.         replace `var'=(`var'-r(mean))/r(sd)
  7. }
  8. 
. cap drop depvar_`categ'
  9. egen depvar_`categ'=rmean(`cat') if insample==1
 10. sum depvar_`categ' if insample==1
 11. replace depvar_`categ'=(depvar_`categ'-r(mean))/r(sd)
 12. 
. ***********************interaction with indicator for number of predicted winners
. }

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
  s12_45_rev |       664    .1731928    .3207127          0          1
(1864 real changes made)

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
  s12_46_rev |       664    .2703313    .3931988          0          1
(1864 real changes made)

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
family_cho~c |       664    .0225904    .1487055          0          1
(1402 real changes made)
(10343 missing values generated)

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
  depvar_wom |      1387   -.0462684      .59058  -.4598188   3.039814
(1387 real changes made)

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
s12_39_rev~e |       664    .9318524    .2003158          0          1
(1863 real changes made)

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
s12_40_dem~c |       664    .6385542    .4807815          0          1
s12_40_democratic was byte now float
(1862 real changes made)

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
  s12_44_rev |       664    .7304217    .3740155          0          1
(1864 real changes made)

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
s12_35sing~y |       664    .3885542    .4167098          0          1
(1863 real changes made)

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
s12_36deci~g |       664    .2993223    .3848511          0          1
(1864 real changes made)

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
s12_37army~p |       664    .6430723     .405297          0          1
(1864 real changes made)

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
s12_38elec~t |       664    .6415663    .4156947          0          1
(1861 real changes made)
(10343 missing values generated)

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
  depvar_dem |      1387    .0080712    .4454444  -1.481296   .9776614
(1387 real changes made)

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
s12_27pres~t |       664    .9954819    .0671151          0          1
s12_27president was byte now float
(1863 real changes made)

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
    s12_28vp |       664    .8704819    .3360256          0          1
s12_28vp was byte now float
(1864 real changes made)

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
 s12_29edmin |       664    .3448795    .4756873          0          1
s12_29edmin was byte now float
(1863 real changes made)

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
s12_30heal~n |       664    .5361446    .4990678          0          1
s12_30healthmin was byte now float
(1864 real changes made)

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
s12_31ugpres |       664    .6626506    .4731617          0          1
s12_31ugpres was byte now float
(1864 real changes made)
(10343 missing values generated)

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
depvar_pol~e |      1387    .0508504    .5588442   -4.12455   .6944759
(1387 real changes made)

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
      s12_43 |       664    .5321285    .4652913          0          1
(1864 real changes made)

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
s12_20_gov~e |       664    .5557229    .4972598          0          1
s12_20_gov_improve was byte now float
(1864 real changes made)

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
s12_19_eco~e |       664    .4864458     .500193          0          1
s12_19_econ_improve was byte now float
(1864 real changes made)

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
s12_41_sat~d |       664    .7359438    .2972753          0          1
(1846 real changes made)
(10343 missing values generated)

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
  depvar_sat |      1387   -.0506147    .5993451  -1.427341   .9534907
(1387 real changes made)

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
s12_33poli~r |       664    .1923946    .3148753          0          1
(1864 real changes made)

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
s12_34worl~p |       664    .3396084    .3889369          0          1
(1863 real changes made)
(10343 missing values generated)

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
depvar_effic |      1387    .0211265    .7444021  -.7420946   2.131391
(1387 real changes made)

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
s12_23_int~d |       664    .2876506    .4530086          0          1
s12_23_interested was byte now float
(1864 real changes made)

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
s12_26vote~t |       446    .5156951    .5003148          0          1
s12_26vote2007_restrict was byte now float
(1243 real changes made)

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
sk_group_i~x |       664       1.625     1.44148          0          6
sk_group_index was byte now float
(11730 real changes made)
(10343 missing values generated)

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
  depvar_int |      1387   -.0030497    .6526995  -.9310109   1.956914
(1387 real changes made)

. 
. sum winners if tag_school==1&teso==0

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
     winners |        69    2.507246     6.06005          0         40

. gen winners_predicted_n = (winners_predicted-r(mean))
(191 missing values generated)

. gen winners_pred_treat_n=treatment*winners_predicted_n
(191 missing values generated)

. 
. foreach v in wom dem polknowledge sat effic int{
  2. xi: reg depvar_`v' treatment winners_pred_treat_n winners_predicted_n `controls' if in
> sample==1 [aweight=weight], robust cluster(school_baseline)
  3. }
(sum of wgt is   1.9493e+03)

Linear regression                                      Number of obs =    1369
                                                       F(  9,    66) =    4.08
                                                       Prob > F      =  0.0003
                                                       R-squared     =  0.0443
                                                       Root MSE      =  1.0429

                               (Std. Err. adjusted for 67 clusters in school_baseline)
--------------------------------------------------------------------------------------
                     |               Robust
          depvar_wom |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
           treatment |   -.193039   .0959968    -2.01   0.048    -.3847029   -.0013751
winners_pred_treat_n |   .0046165   .0091868     0.50   0.617    -.0137256    .0229585
 winners_predicted_n |  -.0057866   .0069862    -0.83   0.410    -.0197351    .0081619
                  c1 |  -.1989213   .0895571    -2.22   0.030    -.3777278   -.0201149
          age_survey |   .1215045   .0334375     3.63   0.001     .0547443    .1882647
          survey2005 |    .125966   .0986558     1.28   0.206    -.0710066    .3229386
          survey2007 |  -.1850238   .1910866    -0.97   0.336    -.5665404    .1964929
               meduc |   .0021039   .0117341     0.18   0.858     -.021324    .0255318
               feduc |  -.0137631   .0131338    -1.05   0.299    -.0399856    .0124595
               _cons |  -1.891721   .6329996    -2.99   0.004    -3.155546   -.6278968
--------------------------------------------------------------------------------------
(sum of wgt is   1.9493e+03)

Linear regression                                      Number of obs =    1369
                                                       F(  9,    66) =    4.02
                                                       Prob > F      =  0.0004
                                                       R-squared     =  0.0340
                                                       Root MSE      =  1.0178

                               (Std. Err. adjusted for 67 clusters in school_baseline)
--------------------------------------------------------------------------------------
                     |               Robust
          depvar_dem |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
           treatment |  -.0396429   .0995715    -0.40   0.692    -.2384439    .1591581
winners_pred_treat_n |   .0097319   .0129458     0.75   0.455    -.0161153     .035579
 winners_predicted_n |   .0093184   .0115323     0.81   0.422    -.0137066    .0323433
                  c1 |   .1571811   .0887073     1.77   0.081    -.0199288    .3342911
          age_survey |  -.0711616   .0298437    -2.38   0.020    -.1307465   -.0115766
          survey2005 |  -.0163091   .0904571    -0.18   0.857    -.1969125    .1642944
          survey2007 |   .1430267   .1765408     0.81   0.421    -.2094484    .4955018
               meduc |  -.0014205   .0123511    -0.12   0.909    -.0260803    .0232393
               feduc |   .0169437   .0097442     1.74   0.087    -.0025112    .0363986
               _cons |   1.005193   .5907689     1.70   0.094    -.1743152    2.184701
--------------------------------------------------------------------------------------
(sum of wgt is   1.9493e+03)

Linear regression                                      Number of obs =    1369
                                                       F(  9,    66) =    9.56
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.0811
                                                       Root MSE      =  .96525

                               (Std. Err. adjusted for 67 clusters in school_baseline)
--------------------------------------------------------------------------------------
                     |               Robust
 depvar_polknowledge |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
           treatment |   .2049864   .0946847     2.16   0.034     .0159422    .3940306
winners_pred_treat_n |   .0059819   .0086635     0.69   0.492    -.0113154    .0232792
 winners_predicted_n |   .0034706   .0080162     0.43   0.666    -.0125344    .0194755
                  c1 |   .2346197   .0634795     3.70   0.000     .1078787    .3613607
          age_survey |  -.1153156   .0262604    -4.39   0.000    -.1677461   -.0628851
          survey2005 |   .2584532   .0689262     3.75   0.000     .1208375    .3960688
          survey2007 |   .2335402   .1324681     1.76   0.083     -.030941    .4980213
               meduc |  -.0029289   .0113438    -0.26   0.797    -.0255775    .0197198
               feduc |     .02285   .0100818     2.27   0.027      .002721    .0429791
               _cons |   1.578445   .5178242     3.05   0.003     .5445752    2.612314
--------------------------------------------------------------------------------------
(sum of wgt is   1.9493e+03)

Linear regression                                      Number of obs =    1369
                                                       F(  9,    66) =    6.31
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.0333
                                                       Root MSE      =  .99287

                               (Std. Err. adjusted for 67 clusters in school_baseline)
--------------------------------------------------------------------------------------
                     |               Robust
          depvar_sat |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
           treatment |  -.2040955   .0631103    -3.23   0.002    -.3300992   -.0780918
winners_pred_treat_n |  -.0008087   .0053973    -0.15   0.881    -.0115847    .0099673
 winners_predicted_n |  -.0101124   .0041315    -2.45   0.017    -.0183612   -.0018636
                  c1 |  -.1262457   .0703197    -1.80   0.077    -.2666434    .0141521
          age_survey |    .021997   .0233912     0.94   0.350    -.0247051    .0686992
          survey2005 |  -.0223986   .0755201    -0.30   0.768    -.1731793    .1283822
          survey2007 |  -.2337274   .1756494    -1.33   0.188    -.5844228    .1169679
               meduc |   .0046627   .0108968     0.43   0.670    -.0170934    .0264189
               feduc |  -.0173325   .0103316    -1.68   0.098    -.0379603    .0032952
               _cons |  -.0791176   .4706951    -0.17   0.867    -1.018891    .8606554
--------------------------------------------------------------------------------------
(sum of wgt is   1.9493e+03)

Linear regression                                      Number of obs =    1369
                                                       F(  9,    66) =   10.20
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.0554
                                                       Root MSE      =  .93675

                               (Std. Err. adjusted for 67 clusters in school_baseline)
--------------------------------------------------------------------------------------
                     |               Robust
        depvar_effic |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
           treatment |   .0701394   .0683734     1.03   0.309    -.0663725    .2066514
winners_pred_treat_n |   .0016267   .0076607     0.21   0.832    -.0136684    .0169218
 winners_predicted_n |  -.0058212   .0061034    -0.95   0.344    -.0180071    .0063647
                  c1 |   -.156686   .0616748    -2.54   0.013    -.2798237   -.0335483
          age_survey |   .0408006   .0228005     1.79   0.078    -.0047221    .0863233
          survey2005 |   .4711048   .0797174     5.91   0.000     .3119439    .6302658
          survey2007 |  -.3740851   .1180042    -3.17   0.002    -.6096882   -.1384821
               meduc |  -.0004118   .0089135    -0.05   0.963    -.0182082    .0173846
               feduc |  -.0131265   .0091492    -1.43   0.156    -.0313935    .0051406
               _cons |  -.7187158   .4179225    -1.72   0.090    -1.553125    .1156934
--------------------------------------------------------------------------------------
(sum of wgt is   1.9493e+03)

Linear regression                                      Number of obs =    1369
                                                       F(  9,    66) =   10.71
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.0730
                                                       Root MSE      =  .94663

                               (Std. Err. adjusted for 67 clusters in school_baseline)
--------------------------------------------------------------------------------------
                     |               Robust
          depvar_int |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
           treatment |  -.0220791   .0734633    -0.30   0.765    -.1687532    .1245951
winners_pred_treat_n |    -.00818   .0087851    -0.93   0.355    -.0257201      .00936
 winners_predicted_n |   .0033434   .0065736     0.51   0.613    -.0097811    .0164679
                  c1 |   .0561565   .0789807     0.71   0.480    -.1015336    .2138466
          age_survey |   .0033113   .0263551     0.13   0.900    -.0493084     .055931
          survey2005 |   .5958615   .0877988     6.79   0.000     .4205656    .7711575
          survey2007 |  -.3836588   .1570393    -2.44   0.017     -.697198   -.0701197
               meduc |  -.0138565   .0112201    -1.23   0.221    -.0362581     .008545
               feduc |   .0269888   .0102655     2.63   0.011     .0064931    .0474844
               _cons |  -.3872758   .5083372    -0.76   0.449    -1.402204    .6276522
--------------------------------------------------------------------------------------

. foreach var in s13_12_tribe_import_r s13_13_religion_important s12_17newspaper supportfor
> violence1 supportforviolence2{
  2. xi: reg `var' treatment winners_pred_treat_n winners_predicted_n `controls' if insampl
> e==1 [aweight=weight], robust cluster(school_baseline)
  3. }
(sum of wgt is   1.9493e+03)

Linear regression                                      Number of obs =    1369
                                                       F(  9,    66) =    3.04
                                                       Prob > F      =  0.0043
                                                       R-squared     =  0.0180
                                                       Root MSE      =  .29384

                               (Std. Err. adjusted for 67 clusters in school_baseline)
--------------------------------------------------------------------------------------
                     |               Robust
s13_12_tribe_impor~r |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
           treatment |  -.0389342   .0184676    -2.11   0.039     -.075806   -.0020624
winners_pred_treat_n |   .0051819   .0020672     2.51   0.015     .0010547    .0093092
 winners_predicted_n |  -.0034259   .0011318    -3.03   0.004    -.0056857   -.0011661
                  c1 |  -.0231184   .0236114    -0.98   0.331    -.0702602    .0240234
          age_survey |   .0018751   .0080208     0.23   0.816    -.0141389    .0178891
          survey2005 |   .0156337   .0255218     0.61   0.542    -.0353223    .0665896
          survey2007 |  -.0827402    .037648    -2.20   0.031    -.1579068   -.0075735
               meduc |  -.0011584     .00283    -0.41   0.684    -.0068087    .0044919
               feduc |  -.0024196   .0029382    -0.82   0.413     -.008286    .0034468
               _cons |   .1265908   .1414699     0.89   0.374    -.1558629    .4090445
--------------------------------------------------------------------------------------
(sum of wgt is   1.9493e+03)

Linear regression                                      Number of obs =    1369
                                                       F(  9,    66) =    3.53
                                                       Prob > F      =  0.0013
                                                       R-squared     =  0.0093
                                                       Root MSE      =  .12497

                               (Std. Err. adjusted for 67 clusters in school_baseline)
--------------------------------------------------------------------------------------
                     |               Robust
s13_13_religion_im~t |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
           treatment |  -.0030833    .007083    -0.44   0.665     -.017225    .0110584
winners_pred_treat_n |  -.0003754   .0006453    -0.58   0.563    -.0016639     .000913
 winners_predicted_n |   .0000875   .0004405     0.20   0.843     -.000792    .0009671
                  c1 |  -.0004762   .0070696    -0.07   0.947     -.014591    .0136387
          age_survey |   .0002795   .0018296     0.15   0.879    -.0033735    .0039324
          survey2005 |  -.0224785   .0137418    -1.64   0.107     -.049915    .0049579
          survey2007 |   .0152443   .0039504     3.86   0.000     .0073571    .0231316
               meduc |   .0018073   .0008122     2.23   0.030     .0001856     .003429
               feduc |  -.0000348   .0008866    -0.04   0.969    -.0018049    .0017353
               _cons |   .9702874   .0366109    26.50   0.000     .8971914    1.043383
--------------------------------------------------------------------------------------
(sum of wgt is   1.9493e+03)

Linear regression                                      Number of obs =    1369
                                                       F(  9,    66) =    6.10
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.0689
                                                       Root MSE      =  1.1348

                               (Std. Err. adjusted for 67 clusters in school_baseline)
--------------------------------------------------------------------------------------
                     |               Robust
     s12_17newspaper |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
           treatment |   .1134802    .077197     1.47   0.146    -.0406486     .267609
winners_pred_treat_n |  -.0043099   .0068015    -0.63   0.528    -.0178895    .0092697
 winners_predicted_n |   .0117329   .0037066     3.17   0.002     .0043325    .0191333
                  c1 |   .1704507   .0754446     2.26   0.027     .0198207    .3210806
          age_survey |  -.0972672   .0297728    -3.27   0.002    -.1567105   -.0378239
          survey2005 |  -.1586497   .0819164    -1.94   0.057     -.322201    .0049017
          survey2007 |   .0978079    .185283     0.53   0.599    -.2721216    .4677374
               meduc |    .038996   .0114752     3.40   0.001      .016085    .0619071
               feduc |   .0192243   .0096741     1.99   0.051    -.0000907    .0385394
               _cons |   1.706799   .5413442     3.15   0.002     .6259704    2.787628
--------------------------------------------------------------------------------------
(sum of wgt is   1.9493e+03)

Linear regression                                      Number of obs =    1369
                                                       F(  9,    66) =    4.11
                                                       Prob > F      =  0.0003
                                                       R-squared     =  0.0169
                                                       Root MSE      =  .40423

                               (Std. Err. adjusted for 67 clusters in school_baseline)
--------------------------------------------------------------------------------------
                     |               Robust
 supportforviolence1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
           treatment |   .0288729   .0274356     1.05   0.296    -.0259041      .08365
winners_pred_treat_n |    .004249   .0030754     1.38   0.172    -.0018911    .0103891
 winners_predicted_n |   .0000418   .0020081     0.02   0.983    -.0039676    .0040511
                  c1 |  -.0310391   .0319225    -0.97   0.334    -.0947743    .0326962
          age_survey |   .0166936   .0090409     1.85   0.069    -.0013571    .0347443
          survey2005 |    .099597   .0280543     3.55   0.001     .0435847    .1556093
          survey2007 |  -.0089637   .0617564    -0.15   0.885    -.1322644    .1143369
               meduc |  -.0043595   .0033862    -1.29   0.202    -.0111202    .0024012
               feduc |    -.00217   .0036701    -0.59   0.556    -.0094976    .0051576
               _cons |  -.0006213   .1714289    -0.00   0.997    -.3428901    .3416475
--------------------------------------------------------------------------------------
(sum of wgt is   1.9463e+03)

Linear regression                                      Number of obs =    1366
                                                       F(  9,    66) =    4.36
                                                       Prob > F      =  0.0002
                                                       R-squared     =  0.0202
                                                       Root MSE      =  .43569

                               (Std. Err. adjusted for 67 clusters in school_baseline)
--------------------------------------------------------------------------------------
                     |               Robust
 supportforviolence2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
           treatment |   .0450029   .0272606     1.65   0.104    -.0094247    .0994305
winners_pred_treat_n |   .0066515   .0033569     1.98   0.052    -.0000506    .0133537
 winners_predicted_n |  -.0018978    .002064    -0.92   0.361    -.0060188    .0022231
                  c1 |  -.0455134   .0336923    -1.35   0.181    -.1127821    .0217554
          age_survey |   .0195646   .0094811     2.06   0.043      .000635    .0384943
          survey2005 |   .0900859    .027544     3.27   0.002     .0350925    .1450793
          survey2007 |  -.0141087   .0696969    -0.20   0.840     -.153263    .1250457
               meduc |  -.0027918   .0035553    -0.79   0.435    -.0098902    .0043065
               feduc |  -.0048762   .0038649    -1.26   0.212    -.0125927    .0028404
               _cons |  -.0507966   .1825306    -0.28   0.782    -.4152307    .3136375
--------------------------------------------------------------------------------------

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       log:  /Users/willafriedman/Dropbox/a_research/gsp/replication/edaslib2015replication
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 closed on:  27 Sep 2015, 23:10:10
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